Deep Learning Job Description
Deep learning
provides thought and technical leadership in applying machine learning approaches in drug discovery and development processes, i.e.
Deep Learning Duties & Responsibilities
To write an effective deep learning job description, begin by listing detailed duties, responsibilities and expectations. We have included deep learning job description templates that you can modify and use.
Sample responsibilities for this position include:
Develop technical examples, demos in MATLAB that highlight MATLAB use in end-to-end workflows and applications of machine learning and deep learning
Project thought leadership of MATLAB for machine learning and deep learning through conferences, events, social media, and web channels
Academic track record and publications in a relevant field such as machine learning, deep learning, probability & detection theory, statistics or applied mathematics
Programming experience with machine learning/deep learning frameworks such as Theano, TensorFlow or Caffe
As a member of our deep learning architecture team, you will craft system and processor architectures to extend the state of the art in deep learning efficiency and performance
Presenting on-site Deep Learning workshops
Evangelize deep learning technologies and services
Designing and developing an automated test environment for deep learning frameworks
Provide thought leadership to the organization on frameworks, architecture, security related to big data and deep learning
Participate in a unique opportunity to build and drive the adoption of deep learning based product into next-generation Bosch products
Deep Learning Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Deep Learning
List any licenses or certifications required by the position: ISTQB, SDL, SWLC, GCP, AWS, DLI
Education for Deep Learning
Typically a job would require a certain level of education.
Employers hiring for the deep learning job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Computer Science, Engineering, Technical, Machine Learning, Computer Engineering, Computer, Mathematics, Physics, Electrical Engineering, Statistics
Skills for Deep Learning
Desired skills for deep learning include:
Python
CPU
GPU architecture
C++
C/C++
Deep learning
Machine learning
Code reviews
Build processes
Machine learning and statistics
Desired experience for deep learning includes:
Extensive experience with low-level programming (C, C++, Vectorization, …)
Experience with CUDA (GP-GPU) programming
Experience with mixed language frameworks and foreign function interfaces (FFI)
Knowledge of sensor technology like camera, laser/lidar, radar
Good experience in convolutional and recurrent neural networks
Education research, Gov
Deep Learning Examples
1
Deep Learning Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of deep learning. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for deep learning
- Continuously research and evaluate advances in deep learning software frameworks and algorithms and find use cases for its adoption
- Participate in a unique opportunity to build and drive the adoption of deep learning based product into next-generation client products
- You will also collaborate across the company to direct the direction of machine learning, working with software, research and product teams
- Actively participate in applied research activities in the broader areas of machine learning applications for embedded, enterprise, and cloud environments, resulting in proofs of concept, prototypes, patents, and/or academic publications
- Investigate the application of deep learning for plant digitalization that satisfies customer requirements for creating value-added services and offerings
- Build tools that will increase the productivity of teams developing AI-based systems (training of deep learning / reinforcement learning systems)
- Work on the bridging the gap between the latest in deep learning research and its application in real world products
- Compilation of deep learning model descriptions in multiple frameworks into efficient code for execution in a variety of environments
- Making a variety of machine learning hardware platforms more efficient and easier to use
- Adapt machine learning
Qualifications for deep learning
- Technical knowledge of developer digital platforms (Facebook, Twitter, LinkedIn, Google Hangouts, stackoverflow, ) and their trends
- Developing curriculum and training content for data scientists and software developers
- Training/certifying other instructors to teach DLI content
- Delivering webcasts and office hours for online courses
- MSc/PhD in Computer science/ Software engineering/Information technology/Industrial engineering
- Experience in algorithmic optimizations is an advantage
2
Deep Learning Job Description
Job Description Example
Our company is growing rapidly and is looking for a deep learning. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for deep learning
- Lead the research activities focused at applying combination of Deep Learning, other Machine Learning techniques and Knowledge Representation pipelines to design, analysis and engineering workflows for real world problems
- Experience in new algorithm development, model enhancements, around some key research areas regarding deep learning, object/image recognition and image processing
- Project thought leadership for machine learning with MATLAB by presenting at conferences, expos, and seminars
- Develop tools and models for our custom 16 bit numerical format for deep learning
- High proficiency in Opencv using python
- Expertise related to applying deep learning, convolutional neural networks (CNNs) and related techniques for computer vision, object detection, object classifications and related problems
- Experience with TensorFlow, Caffe or other Deep Learning frameworks
- Defining, implementing, and executing well-structured test plans and test cases
- Providing design input on testability and quality
- Reporting and tracking bugs, then working them to resolution
Qualifications for deep learning
- Knowing C/C++/Java is an advantage
- Bachelor degree or above in computer science, electronics, signal processing, image processing, or relevant majors
- Familiar with C, C++, Java, matlab, or java language and have relevant work experience in embedded software designing and debugging
- Familiar with design and training of at least one kind of network
- Familiar with algorithm optimization with cuDNN/OpenCL
- MSc degree in Computer Science, Machine Learning or related field or equivalent work experience
3
Deep Learning Job Description
Job Description Example
Our company is looking to fill the role of deep learning. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for deep learning
- Benchmarking performance
- Plan and develop technical selling materials with a reinforcing message to drive awareness and adoption across all global locations
- Plan and develop content for demand generation including webinars and marketing campaign offers
- Collaborate with business development in defining specific problems and incubating market opportunities
- Visit customers and support customer-facing teams with the knowledge and tools necessary to successfully prospect, qualify, sell, and drive adoption
- Working with development teams, develop product plans by collecting and synthesizing customer requirements, use cases, and personas
- Collect, synthesize and prioritize customer feedback
- Measure sales and business impact for these product areas and develop plans to enhance penetration and growth in both commercial industries and academia
- Develop new frameworks and applications in diverse areas like Cloud, IoT, Web business, Social
- Leverage developments made in other Bosch business units like corporate research and research and technology
Qualifications for deep learning
- Ability of reducing deep learning models and optimization
- At least 10-year work experience and expert in deep learning field
- PhD in Computer Science, Math or Engineering
- Experience working with deep learning frameworks such as Caffe, Theano, Torch, TensorFlow, MXNet
- Solid Python and C/C++ development skills
- Proficiency in Python programming (around 2 years of experience), and some experience with NumPy, TensorFlow, and/or Theano are required
4
Deep Learning Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of deep learning. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for deep learning
- Contribute to high-level strategic customer engagement by being knowledge expert on Deep Learning, key RTG related enterprise product, and server solutions
- Assist customer and partners, and customers to integrate Deep Learning technologies into their core business
- Develop highly optimized deep learning algorithms used in Convolution Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
- Analyze the performance of various machine learning/DL algorithms on existing/new architectures
- Leverage developments made in other client business units like corporate research and research and technology
- Collaborate with AI applied researchers and leaders to build future-proof frameworks and abstractions
- Sending out surveys and attendee certificates
- Intermediate representations and APIs to allow new frameworks and environments to be defined
- Collaborating with or working directly on data science, compilers, cloud software, distributed systems, system software, QA, technical writing
- Gather large data sets in a distributed storage and design the analytical approach
Qualifications for deep learning
- Academic experience with Machine Learning and Deep-Learning algorithms during studies
- Practical experience with Machine Learning and Deep-learning algorithms of at least 3 years in the industry
- Master the usage of at least one deep learning model(Caffe/Tensorflow/MxNet/Torch)
- Abilitiy of use deep learning network in actual application,such as face detecting, image recognition, voice recognition
- Authorship on papers in recent NIPS, ICLR, or ICML conferences is highly desirable
- Deep Learning, Statistical Methods, Bioinformatics, Computational Biology
5
Deep Learning Job Description
Job Description Example
Our growing company is looking for a deep learning. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for deep learning
- GPU testing for Deep Learning products to ensure functionality, compatibility and performance
- As a member of the team you will design, develop and maintain MATLAB Deep Learning capabilities in collaboration with the whole team
- Lead machine learning projects and develop models in collaboration with strats, quants and traders
- Bring deep learning insight into econometric modeling
- Build an understanding of the healthcare domain and combine with a broad and deep knowledge of ML domain to make contributions to the feature roadmap for the health care problem solving platform
- Apply coding skills to platform development projects in partnership with other scientists & engineers on team
- Collect, synthesize and prioritize customer needs, use cases, and personas
- Collaborate with industry marketing in defining specific problems and incubating market opportunities
- Support the worldwide field sales and application engineers with materials and training necessary to raise awareness and engage with business sponsors and end users
- Each record consists of image data, parametric, and categorical data
Qualifications for deep learning
- Solid theoretical foundation in ML and CV algorithms
- Hands on experience in MATLAB
- Experience with multi-player PC or consol gaming
- At least 5 years of experience with deep neural networks
- At least 5 years of experience programming in Python, Java, or Scala
- At least 1 year of experience using Theano/Lasagne or TensorFlow