Machine Learning Engineer Resume Samples
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Machine Learning Engineer Resume Samples
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JP
J Price
Jonathon
Price
4587 Terry Groves
Boston
MA
+1 (555) 134 9581
4587 Terry Groves
Boston
MA
Phone
p
+1 (555) 134 9581
Experience
Experience
New York, NY
Machine Learning Engineer
New York, NY
Boyer and Sons
New York, NY
Machine Learning Engineer
- Use machine learning and statistical modeling techniques to develop and evaluate algorithms to improve performance, quality, data management and accuracy
- Work with Adobe’s research teams to take the state of the art in research and make great products and features
- Educational background in relevant field (Computer Science, Applied Math, Statistics, Operations Research, Physics, Computational Biology, or other quantitative fields)
- Work with product managers to formulate the data analytics problem
- Develop, simulate, test, and improve algorithms for predicting electrical load and generation
- Design lean proofs of concepts (POC) to answer targeted business questions. Explore and work with a wide range of proprietary, interesting data stores. Apply existing methods or develop new methods. Be creative!
- Building new models to extract more value from the customer data we collect, which will help us know more about users and merchants than anyone else in marketing or retail
New York, NY
Arity Machine Learning Engineer
New York, NY
Kreiger LLC
New York, NY
Arity Machine Learning Engineer
- Provides influence and technical advice to Jr. level team members when developing solutions
- Develops and adapts best practices to design and build medium complexity machine learning systems
- Stay informed on the latest machine learning trends and techniques
- Proficiency in at least one programming language Matlab, Python, R, Java, C++
- Contributes to design and prototyping of medium to high complexity machine learning systems
- Have a passion for all things machine learning
- Proficiency in with at least one of the following relevant machine learning packages Scikit-learn, Weka, R etc…
present
Los Angeles, CA
Principal Machine Learning Engineer
Los Angeles, CA
Runolfsdottir, Deckow and Bednar
present
Los Angeles, CA
Principal Machine Learning Engineer
present
- Collaborate with others in crafting and implementing your technical vision
- Learn more about what we are doing at https://www.zillow.com/data-science and https://www.zillow.com/engineering
- Fast-moving, developer-driven organization full of brilliant and ambitious people
- Provide technical leadership to a strong team of data scientists, engineers, and analysts
- We build highly parallelized, big data, machine-learning applications in the cloud. Sounds like a Mad Lib of marketing jargon, but we’re serious…that’s what you’ll be building
- Demonstrated technical project or product development leadership
- Expertise with data analysis languages such as Python, Scala, or R
Education
Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
University of California, San Diego
Bachelor’s Degree in Computer Science
Skills
Skills
- Work in a DevOps environment managing purpose-built, highly available, distributed, scalable cloud services
- Excellent problem solving skills, with attention to detail and focus on quality
- Solid understanding of mathematical foundations behind Machine Learning algorithms, and comfortable with discussing them in details
- Strong understanding and background in probability theory, random process, statistics, and optimization techniques
- Solid knowledge of linear algebra and convex optimization techniques
- Previous experience with either IR, NLP, text mining, machine learning or big data mining is highly desirable
- Can distill highly technical knowledge and techniques to collaborators outside the problem domain
- Proven track record delivering enterprise grade, scalable, secure & reliable software systems
- 2+ years' experience developing highly scalable machine learning/deep learning based applications and services
- Ability to work on data mining , data science projects with application engineering, quality engineers and product management
15 Machine Learning Engineer resume templates
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1
Machine Learning Engineer Resume Examples & Samples
- The ideal candidate should be comfortable making significant contributions in a few of the following categories
- Developing creative computer vision and tracking software for a variety of Oculus products and services
- Participating in cutting edge research in artificial intelligence and machine learning applications
- Developing novel real-time 3D scene reconstruction techniques and delivering accurate visual odometry systems
- Researching and prototyping techniques and alogrithms for object detection and recognition
- Contributing research that can be applied to Oculus product development
- Devising better data-driven models of human behavior
- Prototyping hardware and software solutions for tracking, detection and modeling
- Performing research that enables learning the semantics of data (images, video, text, audio, and other modalities)
2
Senior Applied Machine Learning Engineer Resume Examples & Samples
- Develop infrastructure as required to enable new experiences in enterprise security intelligence by deriving meaning from vast array of enterprise data about users and their activity
- Actively engage other teams across the company to identify security scenarios where machine learning/applied statistics can be used, and lead the development of solutions to these problems
- Provide technical leadership to other developers
- 5+ years of educational or professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
- Strong algorithmic background and experience applying knowledge to solve real problems
3
Machine Learning Engineer Resume Examples & Samples
- Design lean proofs of concepts (POC) to answer targeted business questions. Explore and work with a wide range of proprietary, interesting data stores. Apply existing methods or develop new methods. Be creative!
- You will be relied upon for technical leadership in this role. We need the best and brightest!
- Engage in data analysis in a practical way. Convince business leaders that your results are worth investing in. Be innovative!
- Collaborate with Bloomberg's advanced visualization team. Be colorful!
- Educate other analysts and business team members. Be generous!
- You'll need an Advanced Degree in Computer Science, Statistics, Math, Engineering, or another quantitative discipline. Primarily, we are looking for a strong understanding of computer science development principles
- If you have experience working with programming and scripting languages like Java, Python and R that would be perfect. If you have never worked professionally with these languages this is not a fit!
- 3 - 5 years of professional experience in the use of advanced development, statistical analysis, or machine learning methods in a professional working environment
- Substantial experience with the Big Data stack (Hadoop, Spark, NoSQL, Solr, HBase)
- Professional working experience in the financial services industry
- Strong understanding of core financial concepts
- Experience with mapping business needs to a data science solution
- Experience using SQL for data extraction and management (MSSQL, Oracle, MySQL)
- Must be able to address multiple priorities in an extremely fast-paced environment
4
Applied Machine Learning Engineer Resume Examples & Samples
- 5+ years of relevant software design and development in C++, C# and/or Java
- At least a Master’s Degree in Computer Science, Computer Engineering, or equivalent with a focus on Machine Learning or Data Mining is preferred
- Knowledge of real-time/stream analytics
5
Senior Applied Machine Learning Engineer Resume Examples & Samples
- Experience with one or more of the following: machine learning, information retrieval, statistical modeling
- Proven experience working through the full product cycle from initial design to the final product
- An entrepreneurial spirit to succeed in a fast-paced team
- Familiarity with large scale data mining systems like Cosmos, Hadoop, MapReduce, Spark, Hive, etc
6
Machine Learning Engineer Resume Examples & Samples
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes
- Share and discuss findings with team members
- Bachelor’s or higher Degree in Computer Science, Mathematics, Statistics, related field with 2+yrs of experience in Industrial application or software development or equivalent experience
- Minimum of 1 year of experience in any of the programming language Java, Python or C++
- Minimum 1 year of exposure to machine learning algorithms, statistical methods or data analytics
- Experience with Java Web Services development SOAP, REST APIs preferred
- Expertise in using Python data science libraries such as Jumpy, Skippy, sickie-learn, matplotlib etc would be a great plus. Ability to profile code and identify bottlenecks would be a great plus
- Expertise in time series domain will be a plus
- A good grasp on data structures and analysis of algorithms and ability to write maintainable code preferred
- Contribution to open source packages, participation/winning machine learning competitions is a plus
- Demonstrated awareness of data management methods
- Demonstrated awareness of realtime analytics development and deployment
- Demonstrated awareness of industry and technology trends in one or more sectors where GE operates
- Demonstrated skill at function in a team setting
- Demonstrated awareness of presentation and influencing skills
- Demonstrated awareness of how to succeed in ambiguous circumstances
7
M HIS NLP Machine Learning Engineer Resume Examples & Samples
- Implement machine learning and statistical confidence techniques in our medical NLP engine
- Responsible for participating in Test Driven Development
- Software design, coding, debugging and integration with Natural Language Processing services
- Apply Service Oriented Architecture (SOA) concepts and principles in software design and development
- Participate in design sessions to influence design based on architecture principles
- Work with other software engineers, clinical analysts, quality engineers, and other team members to design and build required systems
- Estimate planned work, identify dependencies, and participate in sprint planning and scrum ceremonies
- Adhere to Department design and coding procedures and standards
- Other duties as assigned or needed
- Bachelor’s degree or higher from an accredited university OR minimum of five or more (5+) years of experience developing enterprise applications in lieu of educational requirement
- Minimum of two or more (2+) years of machine learning experience (course work considered)
- Bachelor Degree in a computational / machine learning / informatics field from an accredited university
- Experience with Perl or Java, including Regular expressions (Regex)
- Experience with SQL/MySQL
- Experience with SVN (merge / resolve conflicts) or other version control
- Familiarity with manipulating XML
- Experience with test automation tools/languages (Maven, Jenkins, etc...)
- Experience with Continuous Integration
- Good analytical and troubleshooting skills
- Demonstrated initiative to complete automation projects
- Must be a team player and have excellent written and verbal communication skills
- Experience with Machine Learning algorithms such as SVM, logistic regression, and expectation maximization
- User knowledge and experience in Unix/Linux environments
- Working knowledge of Unix commands
8
Machine Learning Engineer Resume Examples & Samples
- Derive both offline and online experiments to validate assumptions and hypothesis
- Perform ad-hoc analysis involving billions of records
- MS required (PhD preferred) in Computer Science, Applied Mathematics, Statistics, Electrical Engineering or a related technical field plus significant knowledge in the area of Machine Learning
- Solid background in common machine learning techniques and paradigms e.g. regression vs classification, parametric vs nonparametric, bayesian vs non-bayesian, supervised vs unsupervised, etc
- Experiences in creating descriptive, predictive and prescriptive models using both statistical and machine learning approaches
- Minimum 3 years of experience analyzing very large, complex, multi-dimensional data sets and developing analytic solutions, and at least 2 years’ experience in predictive analytics using R, Python, Scikit, Matlab, SQL or similar statistical tools
- Proficiency in at least one object oriented programming language e.g. Java & Scala
- Familiarity with details of implementing algorithms on multi-core CPU and distributed frameworks such as GraphLab, Spark and Hadoop
- Excellent problem solving skills, with attention to detail and focus on quality
- Experiences in feature engineering and productizing both offline and realtime machine learning pipelines
- Experiences in experimental design and setting up A/B tests
- Experiences in articulating insights, models, mathematical and statistical concepts to non-technical person
- Enjoyment to share your successes and failures
- Enjoyment to teach & learn from your peers
9
Machine Learning Engineer Resume Examples & Samples
- Solid understanding of mathematical foundations behind Machine Learning algorithms, and comfortable with discussing them in details
- Substantial experience developing end-to-end scalable machine learning systems in an industry or research environment
- You feel comfortable reading research papers and understand the concepts and details well enough to modify and implement them. Familiarity with current literature in machine learning and geospatial research is a plus
- Engineering chops. Experience building high traffic and performant systems, and following best practices with clean and tested code. Bonus points if you have built geospatial services and/or worked with geospatial datasets before
- Ability to build and interact with very large data processing pipelines, distributed data stores, and distributed file systems
- Clear communication skills and desire to collaborate with others is a must
- Strong programming and algorithmic skills (we mainly use Java & Python)
10
Machine Learning Engineer Resume Examples & Samples
- 5 to 7 years coding experience
- Strengths in Java, Python
- Background with ETL, simulation, and integrating third party applications
- Exposure, familiarity with telco networks and performance
- Implementation experience with devops and microservice technologies
- Test case automation and agile development methodologies
- Continuous integration and development
- UI development experience highly desirable
- Exposure to source code management technologies
- Experience with open source technologies and integration to platform based architectures
- BS in Computer Science or a related field
11
Machine Learning Engineer Resume Examples & Samples
- Solve business/data learning problems
- Create ML solutions
- Apply established algorithms
- Understand strengths and weaknesses of different ML algorithms
- Use ML algorithm libraries
- Develop code in support of ML solutions
- Collaborate with other project teams to share results and collect feedback/requirements
- Provide technical leadership in machine learning tools and techniques across the organization
- Drive innovation in one of the top brands in the tech industry as part of a passionate team of engineers
- Leads multiple project teams of other software applications engineers and internal and external partners responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration
- Manages and expands relationships with internal and external partners on software applications design and development of mobile solutions
- Provides guidance and mentoring to less-experienced staff members
- MS and/or PhD in Natural Science, Engineering, Computer Science or other relevant quantitative & applied field
- Ability to deal with uncertainty and ambiguity involved in new product development
- Experience delivering and presenting relevant results based on statistical models, data mining and/or machine learning techniques and tools
- Ability to handle multiple tasks, meet deadlines in a dynamic/changing environment
- Strong interpersonal and influential skills
- Practical skills in Analytics/Big Data portfolio
- Experience querying Big Data
- Solid background in Machine Learning, Data Mining, Statistics and/or Discrete Optimization techniques
- Knowledge of statistical environments (e.g. R, JMP, SAS, SPSS, Excel)
- Knowledge of Experience building ETL
- Knowledge in programing languages such as Java, Python, C, C++
- Experience with Deep Learning
- Minimum 6-10 years of experience
- Excellent written and verbal communication skills; English and Portuguese
- Ability to communicate effectively product architectures, design proposals and negotiate options at senior management levels
12
Principal Machine Learning Engineer Resume Examples & Samples
- PHD with 5~8+ years industry programming experience
- Various machine learning algorithms, data mining experience
- Programming skills: C/C++/C#, TCL/Perl etc
- Tools: .NET Framework, VCS
- Communication & Collaboration: Excellent communication skills, both verbal and presentation, team work
- Mandarin is a plus
- MS in CS or CE with 10+ year experience in machine learning
- Ph.D. degree in relevant area is a plus
13
Machine Learning Engineer Resume Examples & Samples
- Research and develop algorithms by applying a variety of machine learning techniques
- Be a key player in improving the performance and stability of Leap Motion tracking
- Provide regular detailed analyses that form the foundation for data-driven decisions on priorities and roadmap planning
- Create, manage, modify, maintain, and present both the analytic and qualitative aspects of user data to improve the performance and stability of Leap Motion tracking
14
Machine Learning Engineer Resume Examples & Samples
- University degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or related field
- Strong analytical / problem solving skills
- Expert in dealing with real-world large data sets, experience with pattern recognition, statistical analysis and machine learning
- Fluent, with hands-on experience in some combination of the following languages: Java, Python, C++/C, R, Matlab
- Development skills: ABAP, HTML 5, JavaScript, XML
- Proficiency in JSON/XML/OData and REST API based integrations
- Fluent in English, excellent verbal and written communication skills
- Creative thinking, willingness and ability to learn quickly new concepts and technologies
- Experience in designing and developing machine learning and data mining algorithms
- Experience with data–driven predictive model development, unstructured text mining, natural language processing, anomaly and novelty detection
- 5+ years of development experience
15
Machine Learning Engineer Resume Examples & Samples
- Excellent Java, Scala, and/or C++
- First-hand machine learning experience
- Bias for action
- Experience with GPS data and/or traffic models is a plus
16
Machine Learning Engineer Resume Examples & Samples
- We’re looking for someone with specialized knowledge and general skills. Someone who can architect new features one day and optimize inner loops the next. The ideal candidate has a strong mix of education and practical experience, and loves diving in to interesting problems head first
- Work includes
- Using NLP and ML techniques to bring order to unstructured data
- Ensuring high quality and agility with unit and integration tests
- You'll commit code on your second day
17
Machine Learning Engineer Resume Examples & Samples
- Experience using machine learning techniques for classification, parsing, and/or ranking
- Direct contribution to the design and implementation of innovative products that were successfully shipped and used by consumers
- Experience with search or indexing a plus
- Experience in extracting signal from noise in large unstructured datasets a plus
- Experience in iOS development with C, C++, Objective-C, or Swift a plus
18
Machine Learning Engineer Resume Examples & Samples
- Strong scripting skills
- Strong in software engineering and system design
- Deep knowledge of revision control
- Experience with creating a repeatable and scalable release system is a big plus
- Experience with Hadoop/Spark is a plus
- Experience with Automatic Speech Recognition or other AI system is a plus
19
Software Engineer / Machine Learning Engineer Resume Examples & Samples
- Significant experience in building prediction models using large quantities of historical data
- Excellent programming skills in Java, Scala, or C++
- Knowledge of the latest advancements in the machine learning community
- Broad knowledge of computer science fundamentals
- Knowledge of optimization techniques
- Solid system development skills in UNIX-type OS (e.g. Linux, Solaris, BSD, OS X)
- Excellent problem-solving and analytic skills
- Mastery of standard statistical techniques, linear algebra and probability
- Experience with Hadoop, Spark, or related technologies would be an asset
20
Machine Learning Engineer Resume Examples & Samples
- A passion for making these methods robust and scalable
- Strong software development skills, with proficiency in Python and C++ preferred
- Ability to explain and present analyses and machine learning concepts to a broad technical audience
- Creative, collaborative, & product focused
21
Statistics & Machine Learning Engineer Resume Examples & Samples
- Programming experience in C++
- Programming experience in MATLAB
- A bachelor's degree and 3 years of professional work experience (or a master's degree) is required
- Knowledge of machine learning or statistics is helpful
- Experience with code generation is helpful
22
Machine Learning Engineer Resume Examples & Samples
- MS or PhD in Machine Learning, Computer Science, or equivalent technical field preferred
- 1-3 years of experience with end-to-end machine learning algorithm development and deployment (including ETL and data quality analysis)
- Experience implementing machine learning algorithms on multiple platforms
- Experienced in implementing software prototyping
- 1-3 years of experience with featuring engineering and trade-offs between various machine learning algorithms
- 1-3 years of experience developing deep learning models using tools such as Caffe, Tensorflow, Theano, Torch, Keras, etc
- 3+ years of hands-on programming experience (Python/R or C++, preferably both)
- Experience with computer vision algorithms
- Experience with embedded systems programming and testing
- Deep knowledge of code development best practices (architecture, documentation, testing, revision control)
23
Computer Vision / Machine Learning Engineer Resume Examples & Samples
- 3-4+ years experience in machine learning, large scale data processing/analytics
- Solid programming skills with Python and C/C++
- Deep understand of deep learning algorithms and workflows, in particular working with large scale visual data
- Background in algorithms development for mining patterns from large scale visual data
- Understand algorithm needs and development of infrastructure to enable fast iterations
- Understand key metrics that impact machine learning algorithms
- Agile integration of deep learning, data collection and failure analysis
- Designing and evaluating experiments monitoring key performance measures
- Visualization and deeper understanding of deep learning networks
- Ability to communicate the results of analyses in a clear and effective manner
24
Arity Machine Learning Engineer Resume Examples & Samples
- PhD, or MSc Computer Science, Mathematics, Statistics, Physics or related discipline
- 3+ years, experience in applied supervised and unsupervised machine learning
- Experience customizing machine learning algorithms to meet a specific need
- Experience implementing multi-purpose machine learning algorithms
- Experience working with mobile sensor data
- Experience working with MapReduce, HDFS, Spark
- Experience in any of the following areas natural language processing, signal processing, deep learning
25
SAP Associate Machine Learning Engineer Resume Examples & Samples
- SAP offers professionals or graduates the opportunity to boost their career, working in a high-performance organization, with a focus on innovation at the intersection of business optimization, software technology and sales demand generation
- In this role, the ML Engineer/ Data Scientist works with SAP Regional and Global organizations. Among a few of these organizations we find: Database & Technology Sales, Database & Technology Center of Excellence, Industry Value Engineering and Data Science Consulting Services
- The value of the ML Engineer/ Data Scientist is to translate our customers’ business needs into an SAP Advanced Analytics solution. This position requires the ability to work and communicate as a part of a high performance team in an international environment
- The ML Engineer/ Data Scientist works with SAP solutions as well as open source environments (machine learning, Big Data, distributed computing) to provide the next generation of SAP solutions
- For the ML Engineer/ Data Scientist position, we are considering professionals or graduates with exceptionally high analytical problem-solving skills. A strong interest in scientific and technical work is required. Candidates are expected to quickly develop business consulting and sales capabilities on the job, with the ability to communicate effectively in an international team environment
- Learn new mathematical or technical methods quickly and with little guidance
- Capable to participate in the sales process as a data science subject matter expert
- Program Management skills
- Ability to deliver clear, concise presentations to non-scientific audiences
- High energy, clear goal orientation and strong work ethic; “can do” attitude
- Fluent English is a must (as a working and customer facing language)
- Fluent German or French is an additional advantage (as a working and customer facing language)
- Execution of Business to Data Science Workshops
- Capture customer innovation requirements and translate them into solution specifications
- Independent contributor to Data Science projects
- Explain complex information in a clear and precise manner
- Technical experience is required in many of the following areas
- Distributed Computing and Open source machine learning, for example: Hadoop, Spark MLlib, scikit-learn, Theano, H2O, TensorFlow, Weka
- Programming: R, Python, JavaScript, Java, HTML5, Scala, C++
- Database & application development: SQL, PL/SQL, T-SQL, library calls, REST APIs, database queries, software engineering best practices
- Database servers, for example: SAP HANA, Sybase, Mongodb, Apache Spark
- Agile-scrum development experience
- Visualization tools: SAP UI5, SAP BusinessObjects, etc
26
Machine Learning Engineer Resume Examples & Samples
- Strong background in classical machine learning and graphical models is a must, preferably with 3 to 15 years of industrial experience
- Knowledge of deep learning, reinforcement learning and natural language processing is a plus
- Excellent English spoken and written skills (C1 level) is a must
27
Machine Learning Engineer Resume Examples & Samples
- BS in Computer Science, Math, Statistics or related field
- Solid experience implementing machine learning systems
- Experience in Java Development; Machine Learning; Natural Language Processing
- Ability to translate insights into business recommendations
- Strong research and innovation skills and ability to solve difficult vision and learning problems
- MS in Computer Science, Math, Statistics or related field
28
Machine Learning Engineer Softe Resume Examples & Samples
- Bachelor’s degree in computer science, statistics, computer engineering, electrical engineering, applied math, or data science, or equivalent experience
- Five years applicable software development and engineering experience
- Understanding of statistical modeling, machine learning, or data mining concepts, and a track record of solving problems with these methods
- Professional experience in backend technologies (C#, C++, Java, Python)
- Professional experience in database technologies (MYSQL, SQL, MongoDB, or Graph Databases)
- Familiar with one or more machine learning or statistical modeling tools (R, Matlab, SciKit, TensorFlow, Caffe, Theano, Keras, or Torch)
- Must have the ability to obtain and maintain a DoD security clearance
- Master’s degree preferred
- Experience with big data techniques (Hadoop, MapReduce, or Spark)
- Professional experience in Agile methodologies (Scrum, Kanban, or etc.)
- Professional experience in source repositories (GIT, TFS, or Perforce)
- Experience in Atlassian JIRA and Confluence
29
Machine Learning Engineer Resume Examples & Samples
- Take ownership of data flows and maintain responsibility for your code throughout the software lifecycle
- Contribute to the evolution of our algorithm tuner, a machine learning pipeline
- Work in and contribute to a shared codebase
- Participate in design and code reviews
- Rapidly fix bugs and solve problems
- Integrate with existing systems and tools
- Experience with machine learning models, specifically reinforcement learning and bayesian networks
- Experience with Spark
- Experience with Hbase
- Experience with various input/output file formats, i.e. Parquet
- Experience with multi-cluster environments
- A disciplined approach to testing, quality assurance, and operational concerns
- Experience with MapReduce, Impala, and/or Big Data infrastructures
30
Analytics Machine Learning Engineer Resume Examples & Samples
- Experience in one or more of the following skills: statistical modeling, machine learning algorithms, training models, AI, Computer vision-2 years
- Experience in Data Science, especially experience in scala, R and python version of notebooks (jupyter/zepplin)-2 years
- Knowledge of Java, Javascript and visualization tools-6 months
- Experience with deep learning frameworks such as Caffe, Torch, Theano or TensorFlow-1 year
- Experience in building production level open-source technologies (hadoop, spark, hive, kafka, storm)-6 months
31
Machine Learning Engineer Resume Examples & Samples
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms
- Build high performance, lightweight applications and services for handling high volume real-time data streams
- Work in a DevOps environment managing purpose-built, highly available, distributed, scalable cloud services
- 2+ years' experience developing highly scalable machine learning/deep learning based applications and services
- Excellent programming skills in one or more of the following: Java, R, Python, Perl, C/C++, Unix shell
- Experience working with relational and NoSQL databases
- Excellent teamwork and communication skills
- Proven track record delivering enterprise grade, scalable, secure & reliable software systems
32
Machine Learning Engineer Resume Examples & Samples
- EBay is one of the largest online marketplaces in the world servings 100's of millions of customers. These customers engage with the platform and buy the most diverse merchandise from sellers all over the world
- The inventory ranges from a consumer selling her used t-shirt to some iconic merchandise sold by a few of the biggest brands on the planet. Due to the diverse nature of our sellers and corresponding inventory, we have a treasure trove of unstructured offers
- The Shopping Experience Applied Research Team's charter is to conduct applied research in various domains of shopping experience. The problems span recommendation systems (search/browse recommendations, top picks, evidence signals), graph mining, product reviews classification and ranking, large-scale duplicate detection as well as competitive analytics and data-driven tools
- Previous experience with either IR, NLP, text mining, machine learning or big data mining is highly desirable
- Passion for leveraging technical solutions aligned with long term strategy with incremental deliverable outputs would be appreciated
- Strong interpersonal communication and collaboration skills
- Ability to work on data mining , data science projects with application engineering, quality engineers and product management
- Ability to mentor other data scientists and engineers
- Passion to stay on the cutting edge of data scienc
33
Machine Learning Engineer Resume Examples & Samples
- Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with relevant work experience
- Expertise in machine learning theory and practice
- Experience applying regression, classification, and clustering algorithms to varied types of data
- Familiarity with programming languages such as C/C++, Java, Perl or Python
- Experience with data science languages like R, Python and MATLAB
- Experience applying computer vision or image processing to real-world problems
- Experience with human interface technologies like natural language processing, gesture recognition, face recognition
- Experience with deep learning frameworks (Caffe, Theano, Tensorflow, Torch, etc.)
- Experience with distributed storage and computing frameworks (Hadoop, Spark)
- Commercial software development experience
- Strong publication record
- Excellent skills in written, spoken, and visual communication
34
Machine Learning Engineer Resume Examples & Samples
- Bachelor's Degree or four or more years of equivalent experience
- Specialization in data analysis/machine learning/data science is strongly preferred
- Experienced with supervised and unsupervised learning
- Experience with data science languages like R, Python
- Experience with building and testing predictive Models
- Apply very large amount of training data set to train models
35
Machine Learning Engineer Intern Resume Examples & Samples
- Problem Solving and analysis skills
- Strong understanding of Computer Science fundamentals
- Strong working knowledge of probability and statistics and application of these to learning models
- Developer skills in Java and Python. Familiarity with machine learning libraries like Spark MLLib, AWS Machine Learning, Mahout, JSAT or similar
- Demonstrated time management and communication skills
- Solid grounding in data science and information management disciplines
36
Machine Learning Engineer Resume Examples & Samples
- Wrangle messy data into usable feature pipelines
- Develop and iterate predictive models
- Tune processes for online performance and scalability
- Degree in Computer Science, Math, Machine Learning or related technical discipline or demonstrable, substantive work in the machine learning domain
- 2+ years experience in software design, development, and algorithm related solutions
- 2+ years experience programming experience in Python
- Working knowledge in one or more of the following: machine learning, data mining, information retrieval, computer vision, advanced statistics or deep learning
- Experience with PostgreSQL-like databases (PostgreSQL, Amazon Redshift)
- Experience with machine learning frameworks (sklearn, keras, tensorflow)
- Experience with version control (git)
- Experience with Docker
- Experience with developing and designing consumer-facing products
- Experience with GIS/PostGIS
37
Machine Learning Engineer Resume Examples & Samples
- Development and implementation of data-intensive machine learning software for real-time auctioning, ad inventory estimation, audience segmentations, and other AdTech applications
- Ensure excellence in delivery to internal and external customers
- Work with data scientists, product managers, and software engineers to develop and support the software for new machine learning products
- MS/PhD in Computer Science or related fields
- 3+ years of experience in Data Science and Machine Learning
- 2+ years hands-on industry experience in designing and building large-scale data, machine learning, and analytics applications and pipelines that are well-designed, cleanly coded, well-documented, operationally stable, and timely delivered
- Experience with R, Python data analysis libraries (pandas, sklearn, numpy, scipy, and matplotlib), and Spark MLlib
- Proficiency with Spark, Hadoop, Kafka, Hive, and SQL
- Solid software engineering skills, with proficiency in Python and experience with Scala, Java, C/C++
- Experience and domain knowledge in the AdTech industry, especially in programmatic advertising/RTB is a plus
38
Machine Learning Engineer Resume Examples & Samples
- Proficiency using R / Python for predictive modelling, pattern recognition, and algorithm prototyping
- Can apply probability models and machine learning approaches to solving complex problems
- Adept at data manipulation, transformation, and decomposition
- Identify key variables, parameters and elements defining a problem or its solution
- Can distill highly technical knowledge and techniques to collaborators outside the problem domain
- Java and/or Scala programming is a plus
- Previous exposure to
39
Machine Learning Engineer Resume Examples & Samples
- You have demonstrable software engineering experience in Java, Go, or Scala
- You have experience in distributed data processing frameworks like Hadoop, Spark, or other similar frameworks
- You sat at the front of the class in Math and were frequently told to "show all your work"
- You can make lame jokes that make other experts in Statistics, Probability, or Computer Science groan
- You respect advanced data structures and can use them to solve your problems
- You have an applied science degree and 3+ years work experience with software development
- Python, R, and other high level languages are a bonus
- Table tennis skills a bonus
40
Engineer Machine Learning Engineer Resume Examples & Samples
- Apply machine learning, collaborative filtering, NLP, and deep learning methods to massive data sets and complex systems
- Research and develop innovative, scalable and dynamic solutions to hard problems
- Use the latest advances in machine leaning, data science, neural networks and deep learning to enhance our products and create new experiences
- Be a valued contributor in shaping the future of our products and services
- Bachelors Degree or Equivalent
- At least 3 years of experience in C++, C# or Java
- Highly proficient in Python. MATLAB, and R
- Skilled work with stream & batch data, extremely large data sets and data visualization
- Advanced machine learning techniques, information retrieval, or data mining experience
- Experience with content management and streaming, linear or IP video
- Experience in complex networks, big data, mobile and /or wireless environments
- Familiarity with spectrum analysis and low level machine data
- Excellent communication skills, solid work ethic, and a strong desire to write production-quality code
41
Machine Learning Engineer Resume Examples & Samples
- Strong working knowledge of data mining algorithms including classifiers, clustering algorithms and anomaly detection techniques
- Practical understanding of linear algebra & statistics, and a passion for building machine learning models & systems
- 5+ plus years of experience in Java Programming (design & architecture, algorithms)
- 2+ years of experience in building high throughput data pipelines using Big Data technologies
- Exposure to large scale (Petabytes) data processing
- Extensive experience with MapReduce, HDFS
- Experience with Scala, Kafka, Flume and Oozie is a plus
- Strong problem-solving and analytical ability
- Ability and comfort working independently and making key decisions on projects
- Excellent interpersonal, written, and verbal communication skills
- Leadership, critical thinking, excellent verbal & written communication skills
42
Beta Program Machine Learning Engineer Resume Examples & Samples
- BS/MS in Computer Science with 2-4 years experience
- Strong HTML5, CSS, Javascript and OO language skills
- Experience developing high-quality Python and Ruby on Rails applications (HTML, CSS, Javascript, Ruby, etc.)
- Strong expertise in various facets of machine learning and natural language processing, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking
- Experience applying Big Data tools (MapReduce, Hadoop, Hive and/or Pig, Spark) to large quantities of textual data
- Experience with UNIX and/or macOS
- Self-starter, showing critical thinking, and broad creativity
43
Machine Learning Engineer Resume Examples & Samples
- Experience in designing and implementing various machine learning models
- Deep understanding of core Machine Learning concepts
- Experience working with large-scale cloud infrastructure and distributed systems
- Experience with visualization libraries using python or R
- Experience with Scala, Java or Python
- Experience with Numpy, scikit or other ML libraries
- Strong attention to detail and excellent analytical capabilities
- Passion for developing and testing clear, robust code
- Ability to learn and apply new technologies and frameworks
44
Handwriting Recognition & Machine Learning Engineer Resume Examples & Samples
- Significant experience developing handwriting recognition systems
- Expertise in modern machine learning algorithms
- Experience with pattern recognition or computer vision algorithms
- Strong programming, debugging and design skills
- Ability to manage several concurrent projects
- Excellent problem solving, critical thinking and communication skills
- Ability to produce creative and innovative solutions to hard problems
45
Machine Learning Engineer Resume Examples & Samples
- Develop, simulate, test, and improve algorithms for predicting electrical load and generation
- Support transfer of key software and algorithms to a production software environment (i.e. be a part-time member of a production software team)
- Support Sales and Marketing by performing customer-specific energy storage system simulations, documenting methods and results, and presenting to customers
- Participate in commissioning and monitoring of energy storage systems
- Collect and interpret field data from active energy storage systems
- If requested, present and/or publish work in various venues for example internally, to customers, to partners, and at industry events
- Proficiency in the following areas
- Proficiency in numerical methods such as numerical algorithms
- Proficiency developing object oriented software (preferably Java 8) using test-driven development techniques
- Strong skills in physics and applied mathematics
- Basic knowledge of electronics and electrical governing equations
- Ability to work in a team-based software development environment
- A high level of analytical rigor with the ability to sift through significant amounts of information to enable the development/deployment of effective analytic solutions
- Knowledge of power transmission and distribution is a plus
- Ability to be flexible and adaptable
- Master of Science degree or PhD preferred
- Either 2 years of coursework or 2 years of experience developing modern machine learning algorithms
- Persuasive oral and written communication abilities
- Strong sense of purpose, urgency, ownership and responsibility
46
Machine Learning Engineer Resume Examples & Samples
- Knowledgeable in one or more of the following: machine-learning, information retrieval, recommendation systems, social network analysis
- Designed and evaluated approaches for handling high-volume real-time data streams
- A strong technical advocate with a background in Java, C++, or Scala, and Python
- Comfortable conducting design and code reviews
- Experienced in operating Linux-based systems
- Knowledgeable of core CS concepts such as: common data structures and algorithms, profiling/optimization
- Passionate about working with large unstructured and structured data sets ( for example multi-terabyte+, 100MM+ daily transaction volumes)
- Experienced in collaborating across multiple teams including analytics, product management, and operations
47
Machine Learning Engineer Resume Examples & Samples
- Solving hard machine learning problems in the context of sensor fusion and environment perception for self-driving cars, including learning-based models for data fusion, object detection, landmark extraction, and map validation
- Managing the data annotation process for specific learning problems, including the definition and verification of annotations delivered by external companies
- Developing robust real-time algorithms for in-vehicle application
- Bachelors + 2 yrs profession experience, Masters or PhD degree
- Proven expertise with autonomous vehicles or robotics. Ability to understand, develop and implement complex algorithms and software projects
- Excellent skills in scripting/programming: Python, C/C++
- Experience with Linux operating systems and shell
- Excellent theoretical background in machine learning and data mining
- Practical experience with different learning frameworks, e.g. caffe, tensorflow
- Good knowledge in different sensor measuring principles: monocular camera, stereo camera, LiDAR, Radar
- Valid driver's license
- Knowledge in rapid prototyping frameworks, e.g. ADTF, DDS, RTOS
48
Data Engineer / Machine Learning Engineer Resume Examples & Samples
- Implement new algorithms for machine learning, NLP, time series analysis, feature processing and data visualization
- Develop new features and capabilities to make experimentation faster, cheaper to run for entire data science and analytics organization
- Develop real-time data processing systems that turn unstructured data from one source as varied as Facebook, Amazon, credit bureaus, and banking institution into factors that power firm's risk models
- Develop a framework in firm's big data platform to simulate the impact of different strategies on the company's loan portfolio
- Develop new machine-learned models and strategies for multiple use cases including underwriting risk, fraud, and marketing
- Strong experience and fluency in big data technologies like Spark, Hive and Presto,
- Strong expertise in machine learning, and familiarty with common frameworks such as scikit-learn, mlib, and tensorflow
- Experience with real-time stream processing frameworks like Kafka is a plus,
- 4-8 years experience
49
Machine Learning Engineer Resume Examples & Samples
- Ideally, 7+ years of Experience in one or more areas of machine learning such as pattern recognition, NLP, anomaly detection, recommender systems, sentiment analysis, clustering
- Development experience in Python or Java/Scala
- Experience in one or more OSS machine learning libraries such as scikit-learn, Spark ML
- Knowledge of different machine learning approaches such as GLM, Decision Trees, SVM, Neural Networks etc
- Practical experience in clustering high dimensionality data using a variety of approaches
- In-depth experience in time series analysis and sequential data using ARIMA, Kalman Filters, HMM, RNN etc
- Knowledge of parallel computing approaches such as use of GPU parallelization is highly desirable
- Real world experience in solving business problems by deploying one or more machine learning techniques
- MS in Computer Science, Statistics, Financial Engineering or related quantitative field
50
Machine Learning Engineer Resume Examples & Samples
- Communicate project activities, statuses, accomplishments, and strategic direction with executive management both in oral and written communication
- Implementing Packaged Solutions: Configuration & Testing: In-depth knowledge of a particular Packaged Solution and of the business processes the package supports. Configuration & Testing: Customize the package for local needs using proprietary APIs, tools, and scripting languages. Configuration & Testing: Develop and validate system requirements and specifications. Configuration & Testing: Design schemes, architecture and models and create and test prototypes. Configuration & Testing: Develop, or acquire and customize and test system/application components and interfaces. Configuration & Testing: Integrate subsystems/application unites and conduct systems/applications level testing and validation. Configuration & Testing: Develop and implement system/ application release and testing
- Propose accuracy measures and validation criteria for the model
- Propose statistical or machine learning based model/methodology to solve the problem
- Work with product managers, partners and peers to formulate the data analytics problem
51
Machine Learning Engineer Resume Examples & Samples
- Experience with machine learning (NLP a big plus)
- Exposure to working with massive datasets
- Foundation in core Computer Science (CS) competencies including data structures, algorithms and object oriented design
- Experienced in working with modern deep learning frameworks such as TensorFlow, Torch, Theano with knowledge of machine learning concepts such as logistic regression, neural networks
- Familiarity with at least one foundational programming language - C++, Python or Java
- At least 2 years professional experience in software development
- Readiness to travel 10% travel annually
- English: Fluent
- Master's or PhD
- Professional experience developing machine learning products
52
Machine Learning Engineer Resume Examples & Samples
- Apply Machine Learning on structured and unstructured data to extract investment insights
- Prototype Business Intelligence applications to identify investment trends and develop strategies
- Creatively source, aggregate and analyze massive amounts of data
- Develop statistical descriptive or predictive models through optimization and machine learning techniques
- Analyze and optimize behavior of models and strategies by simulating execution on historical data and explaining results
- Verify hypotheses by implementing statistical analyses on signals and other trading data
- Compare performance of different optimization and machine learning techniques on a given problem, and advance the state-of-the-art by introducing new techniques
- Design and implement innovative solutions for visualizing and analyzing large datasets
- Advanced knowledge (PhD/Msc level) in Statistics, Mathematics, Computer Science, Physics or relevant fields
- At least 5 years of experience in deep learning / machine learning / data driven development projects
- At least 2 years hands-on experience in building machine learning based products
- Knowledge of deep-learning fundamentals, preferably real-world experience at developing deep-learning models
- Strong knowledge of statistics (e.g., Bayesian inference, Maximum Likelihood Estimation, Monte Carlo methods, Probabilistic Graphical Models)
- Experiences with analytical tools and languages such as Python, R, SQL, Pig and other Hadoop-based languages
- Passion for innovation and creative problem solving with an enthusiasm to create elegant solution
- Agile engineering principles and comfortable working with geographically dispersed teams
- Affinity with financial markets is not required, but would be beneficial
53
Machine Learning Engineer Intern Resume Examples & Samples
- Currently working towards a BS or MS in Computer Engineering or Computer Science (or similar field)
- Classroom and project experience in programming, firmware, and/or system level design
- Working knowledge and experience programming in languages such as Java, PHP, Python, C, MySQL, etc
- Prior internship or co-op experience in a similar field
- Experience in the design and debugging of large scale software applications
- Experience implementing third party APIs
- Commitment to rigorous testing practices
54
Computer Vision & Machine Learning Engineer Resume Examples & Samples
- Computer vision
- Radar sensor hardware & software development
- Lidar sensor hardware & software development
- Camera sensor hardware & software development
- Sensor firmware and low level signal processing
- Sensor calibration
- Perception algorithms (all types and flavors)
55
Audio Machine Learning Engineer Resume Examples & Samples
- Play a lead role in expanding and applying Cirrus’s innovative machine learning techniques into other areas of audio processing
- Work with other machine learning team members in designing and testing new speech enhancement, signal processing and audio improvement algorithms
- Collaborate with other groups as they improve existing products and create new offerings by integrating machine learning and deep learning methods into their solutions
- PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in machine learning or closely related field, esp. with application to speech processing/signal processing
- Strong technical credentials, with at least 2 years of experience using deep learning techniques (including convolutional and recurrent networks) on audio processing tasks (e.g., speech recognition, speaker identification, noise reduction, audio classification)
- Experience applying theoretical models in an applied environment, solid fundamentals in problem solving, algorithm design and complexity analysis
- Experience working with major deep learning frameworks and backends (e.g. TensorFlow, Theano, Keras, Blocks, Caffe) including implementing custom layers
- Expert in one or more major programming languages (C/C++, Java, or similar), Python and Matlab
- Post doctorate or industry experience
- Proficient with mathematical programming libraries
- Experience in one or more of the following: wavelet analysis, stochastic optimization, Bayesian statistics, nonlinear manifold learning
- Track record of communicating well with software engineers, commercial customers and non-technical leaders
- Excellent verbal/written communication skills, including an ability to effectively collaborate with research and technical teams, and earn the trust of senior partners
- Experience conducting scientific analyses, and developing different types of supervised and unsupervised models for complex projects
- Experience with defining organizational research and development practices in an industry setting
56
Machine Learning Engineer Resume Examples & Samples
- Master’s degree in Engineering, Computer Science, Applied Statistics, Applied Mathematics, Computational Biology, or a related field or the equivalent combination of education and related experience
- Experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, unsupervised feature learning, reinforcement learning, zero- or few-shot learning, multimodal learning, natural language processing, ensemble methods, scalable density estimation, scalable online inference, and probabilistic graphical models
- Comprehensive knowledge and experience in Machine Learning including experience in algorithm development
- Experience in the broad application of one or more higher-level programming languages such as C/C++, Java/Scala, or Python
- Experience with one or more scientific analysis and prototyping environments such as R, MATLAB, or the SciPy Stack
- Demonstrated proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information
- PhD in Engineering, Computer Science, Applied Statistics, Applied Mathematics, Computational Biology, or a related field
- Demonstrated proficiency in developing and writing technical proposals and have an established publication record
- Experience and expertise with Deep Learning models and libraries and GPU programming and parallel algorithm development
57
Machine Learning Engineer Resume Examples & Samples
- Deep understanding of machine learning algorithms and data structures
- Production-level knowledge of OOP languages like Java and Scala, as well as scripting languages, like Python, R and SQL
- Operational experience with technologies like Spark, Hive, Kafka, and Cassandra in an AWS environment
- Ability to drive cross-functional projects to completion
- Self-starter with ability to take vague requirements and coalesce them into a fully featured product
58
Computer Vision & Machine Learning Engineer Resume Examples & Samples
- Machine learning (e.g., deep learning, reinforcement learning)
- Localization
- Mapping
59
Machine Learning Engineer Resume Examples & Samples
- Solid knowledge and experience with a scientific computing platform (for example scikit learn, weka, matlab), and/or strong software development skills in Python or C++
- Ability to quickly and effectively diagnose issues, evaluate fixes, and propose solutions for non-deterministic learning systems
- Ability to collaborate effectively and proactively in a cross-functional team environment
- Experience as a primary contributor to research topics with direct product ramifications
- Proven experience designing and implementing machine learning solutions
- CA Drivers License
- German language skills
- Cross-disciplinary background proving multifaceted expertise
60
Machine Learning Engineer Resume Examples & Samples
- 4+ years of experience in Software development
- Advanced degree/Ph.D./ Masters in Computer Science or a related field
- Experience with distributed algorithms (Map-Reduce)
- Experience with Cloud offerings offerings - AWS, Google cloud platform or Azure
- Ability to technically lead small to mid-size teams, mentor junior members
- Results oriented person with a delivery focus
- Ability to handle multiple competing priorities in a fast-paced environment
- Proven track record of designing and building scalable systems
61
Machine Learning Engineer Resume Examples & Samples
- Provide data science services to Bain case teams and clients worldwide. You will work with case teams to assess client demands and suggest data science methods that provide practical, value-added answers to the client and case teams
- Develop solutions that bring critical insights to wide scale of different problems such as targeting customers and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, and fraud detection
- Develop, prototype and test machine learning algorithms on data sets that can range from a few data points to billions
- Employ a range of machine learning techniques including the following: regressions, time series analysis, survival analysis, ensemble learning, clustering, Bayesian methods and deep learning
- Where appropriate, work with our clients to deploy solutions into production, including architecting and implementing production data engineering/analytics pipelines
- Prepare various sources of data using data wrangling methods in Python, Spark, Hadoop and/or SQL leveraging infrastructure including Cloud computing solutions and relational database enviroments
- Keep abreast of new and current machine learning and data wrangling techniques
- Where appropriate, train other team members to support the use of data analytics tools and to expand the use of machine learning within Bain
- Combine domain expertise to perform feature engineering
- Proficiency in SQL is required, and familiarity with NoSQL data stores is a plus
- Proficiency in either Python with numpy, pandas or Scala/Java with ND4S, Breeze or JBlas
- Proficiency in either Python with scikit-learn or Scala/Java with Mahout, Weka or MLlib
- Proficiency in objected oriented programming and design patterns in either Python or Scala/Java
- Proficiency with Git and modern software development workflow
- Familiarity with Linux environments, and setting up and executing machine learning tasks on AWS/Google Cloud/Microsoft Azure
- Proficiency in data visualization
- Experience explaining and performing a variety of data science and machine learning techniques
- Familiarity with computational data structures and algorithms, and computational complexity
- Examples of domain expertise in which we are interested is: predictive modeling, churn analysis, time series forecasting, computer vision, text mining, recommender systems, market basket analysis, segmentation
- Familiarity with handling data in JSON and XML formats is a plus
- Familiarity with unit testing machine learning algorithms or numerical algorithms is a plus
- Experience with Keras, TensorFlow, Theano, MXNet or Caffe2 is a plus
- Experience with distributed computing frameworks such as Spark, Flink or Dask is a plus
- Strong interpersonal and communication skills are a must
- Ability to explain and discuss mathematical and machine learning technicalities to a business audience
- Must thrive in a fast paced environment and be able to work independently
- Fluent in English. Proficiency in French, Dutch, German or Spanish is a plus
62
Internship AI & Machine Learning Engineer Resume Examples & Samples
- Building a self-learning system to identify key metadata
- Building a better data caching streaming logic, based on user experience and historical data usage
- Support with ongoing process in Information Technology department
- Knowledge in Graph theory
- Knowledge in Neural networks
- Knowledge in Statistical classification, Data mining, Cluster analysis
- Knowledge in Computer vision (optional)
- Experience in programming in C#.Net”
- Very good knowledge of English, spoken and written
- Good attention to details
- Excellent analytical and organizational skills
63
Machine Learning Engineer Resume Examples & Samples
- Natural Language Processing,
- Vision Processing,
- Reinforcement Learning,
- (Deep) Neural Networks,
- Gaussian Processes
64
Machine Learning Engineer Resume Examples & Samples
- MS degree in Statistics, Mathematics, or Computer Science with Machine Learning emphasis, or in Electrical Engineering with quantitative analysis background
- 3 - 5 years as a Machine Learning Engineer
- Working experience with Sci-Kit Learn and/or Tensorflow
- Strong understanding and background in probability theory, random process, statistics, and optimization techniques
65
Maps Search & Machine Learning Engineer Resume Examples & Samples
- Expertise and experience in various facets of machine learning and natural language processing, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling and ranking
- Desire to solve challenging problems at the intersection of user experience and computational algorithms
- Strong programming experience in one or more of the following: Java, C++, Python or equivalent
- Hard working, self-starter with proven ability to manage multiple projects to strict deadlines
- Excellent written and oral communication skills and ability to interact with all levels of researchers and engineers
66
Machine Learning Engineer Resume Examples & Samples
- MS in Computer Science or related technical field or BS with 2+ years of applied experience
- Strong experience deploying systems into production, at scale
- Experience with at least one ML framework, such as Torch, Caffe, MxNet, TensorFlow
67
Chatbot / Machine Learning Engineer Resume Examples & Samples
- Experience with one or more languages such as JavaScript, Java, C#, HTML5, CSS3, Bootstrap3, PHP, Laravel, AngularJS, jQuery, Node.js, Python
- Experience in artificial intelligence, machine learning technology
- Experience with web application frameworks
- Experience building large/medium-scale distributed systems using RESTful web services
- Ability to multitask and take on new technologies
- Ability to setup development environment, from database setups to front-end web development
68
Machine Learning Engineer Resume Examples & Samples
- Design and build scalable data processing infrastructure
- Build modular components in the large volume data movement and management
- Mentor junior engineers in Big Data technologies
- Work with architects in implementing the data pipeline
69
Machine Learning Engineer Resume Examples & Samples
- Experience with Spark/PySpark
- Familiar with Scala
- Experience with using Jupyter notebooks on a data analytics/modeling task
70
Machine Learning Engineer Resume Examples & Samples
- Experience in Hadoop
- Experience in Apache Spark/PySpark 1.5+
- Ability to implement complex algorithms by hand (i.e. SVM solver, Locality Sensitive Hashing, PageRank), ideally on a distributed platform
- Experience in high-dimensional natural language processing, speech, or computer vision with preferably both shallow and deep learning methods
71
Machine Learning Engineer Resume Examples & Samples
- B.A., M.A., or PhD in Computational Linguistics, Computer Science, or equivalent
- Strong background in phonetic or phonological linguistics that is applicable to Speech Recognition (ASR) or text-to-speech applications (TTS)
- Strong ability and good intuition in spotting, analyzing, and solving linguistic errors is required
- Working knowledge in a scripting language such as Perl or Python
- Experience in ASR or TTS systems is highly preferred
- Knowledge of multiple languages, including fluency in several is a plus
72
Computer Vision / Machine Learning Engineer Resume Examples & Samples
- Solid foundation in computer vision, deep learning, machine learning, and/or reinforcement learning
- Passion for working on cutting edge technologies and product delivery
- Solid C/C++ and system building skills
- Excellent understanding of data structures and algorithms
- Excellent problem solving skills
73
Machine Learning Engineer Resume Examples & Samples
- Deep and passionate knowledge of software engineering principles and practices
- Advanced Scala and Spark knowledge with either Python and/or R
- Highly proficient with testing frameworks and libraries
- Knowledge and interest in Big Data technologies, such as Spark, Hadoop/Hive, Kafka, Cloud, SQL, NoSQL
- Experience of Data Science or advanced analytics and mathematical programming
- Commercial project experience with a record of working in data science, with big data technology and mathematics
74
Lead Machine Learning Engineer Resume Examples & Samples
- Design and build scalable machine learning services and data platforms
- Feature engineering to improve model performance on key business metrics
- Owner of key service and business metrics
- Work with multiple teams to understand their goals, challenges, and roadmaps to inform your product roadmap
- Design in a mindset of reducing technical debt and encourages others on the team to do so
- Regularly and measurably improve and is a champion of team process and best practices
- Mentor others in development technologies, tools, and processes
- Work with minimal supervision under tight time constraints and respond to rapidly evolving requirements
- 7+ years of software development experience building and operating high traffic web services and platforms
- 2+ years of practical Machine Learning experience. Familiarity with frameworks such as MLlib, scikit-learn, H2O, Torch, TensorFlow, Theano, Caffe
- Experience with Spark, Hadoop, Pig, MapReduce technologies
- Experience with Amazon Web Services a plus
- Strong software design and architecture skills with an eye toward avoiding and reducing technical debt
- Demonstrated personal initiative and strong ownership of deliverables
- Ability to explore new ideas and have a passion to make them happen
75
Machine Learning Engineer Resume Examples & Samples
- Grow and lead a team of engineers through hiring, coaching, mentoring, and hands-on career development
- Apply machine learning at scale to predict audience behavior and consumption of digital media
- Provide technical guidance in a number of aspects of data science and engineering including: hypothesis testing, analysis, modeling, and production deployment
- Work closely with counterparts in other disciplines as part of a cross-functional team, and nurture this culture in your team
- Think creatively and propose new directions and questions to pursue
- Strong background in machine learning or a related field. Graduate education preferred
- 4+ years of experience working in Data Science or related field
- Experience deploying software on AWS infrastructure
- Experience giving hands-on leadership, whether formally or informally (e.g., mentoring), to individuals implementing machine learning systems at scale in Java, Scala, Python
- Excellent SQL skills
- Experience with high-scale data processing and storage frameworks like Hadoop, Scalding, Spark, Storm, Cassandra, Kafka, etc
- Strong adherence to agile software processes, data-driven development, reliability, and disciplined experimentation
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Arity Machine Learning Engineer Resume Examples & Samples
- Develops and adapts best practices to design and build medium complexity machine learning systems
- Contributes to design and prototyping of medium to high complexity machine learning systems
- Contributes to the realization of major machine learning technical capabilities in the industry by being responsible for the identification, research and software implementation of these capabilities
- With some technical support, leads a technical team to implement machine learning solutions
- Contributes to effort to revise current practices; lead innovation in technical capability delivery
- Provides influence and technical advice to Jr. level team members when developing solutions
- Reaches out to support and collaborate with other technology functional teams to build the solution
- Represents area of professional and/or technical expertise for Allstate
- May be considered a thought leader within the team
- BS degree in Computer Science, Machine Learning or Artificial Intelligence major is preferred
- Minimum of 5 years full time hands-on software engineering experience
- Minimum of 2-3 years full time hands-on machine learning or artificial intelligence software engineering experience
- Both front and backend technical experience with cognitive business applications
- Instinctive knowledge of how people will want to use a product, service, or solution that solves a real world business problem
- Hands on experience with various supervised and unsupervised machine-learning techniques
- Understanding of various deep machine-learning techniques
- Hands on experience in one or two of the following areas: machine learning, natural language processing, or ontology engineering technologies
- Ability to develop and adapt standard machine learning methods and best practice
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Machine Learning Engineer Resume Examples & Samples
- PhD or Master's Degree in Computer Science or Engineering
- 3+ years of software development experience
- Strong C/C++ or Python programming experience
- PhD in Computer Science or applied science field
- Familiar with Python or programing language use in ML
- Experience programming GPUs
- Experience contributing to the open source community and/or publications and conferences (NIPS, CVPR, ICLR, etc)
- Experience in Computer Vision, Natural Language Processing, or Artificial Intelligence
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Machine Learning Engineer FG Resume Examples & Samples
- Work to expand and apply Cirrus’s innovative deep learning noise reduction techniques to other areas of audio processing
- Work with other machine learning team members in designing and testing new speech enhancement, signal processing and audio improvement algorithms
- Collaborate with other groups worldwide as they improve and create new products by integrating machine learning and deep learning methods into their solutions
- MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in machine learning or closely related field, esp. with application to speech processing/signal processing
- Strong technical credentials, including solid fundamentals in problem solving, algorithm design and complexity analysis
- Familiarity with deep learning techniques (including convolutional and recurrent networks), machine learning (including data analysis, data preparation and training stages), and/or audio processing tasks (e.g., speech recognition, speaker identification, noise reduction, audio classification)
- Authority in one or more major programming languages (C/C++, Java, or similar), Python and Matlab
- Post doctorate or industry experience
- Proficient with mathematical programming libraries
- Experience in one or more of the following: wavelet analysis, stochastic optimization, Bayesian statistics, nonlinear manifold learning
- Track record of communicating well with software engineers, commercial customers and non-technical leaders
- Excellent verbal/written communication skills, including ability to effectively collaborate with research and technical teams, earn trust of and influence senior partners
- Experience conducting scientific analyses, and developing different types of supervised and unsupervised models for complex projects
- Experience with defining organizational research and development practices in an industry setting
