Computer Vision Scientist Cover Letter

I would like to submit my application for the computer vision scientist opening. Please accept this letter and the attached resume.

Previously, I was responsible for regional representation for APD RC Breeding tools and analytical pipelines that enable data access, visualization and automated analysis.

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• Experience with general machine learning tools to build models and analyze data
• Experience with deep learning tools
• Demonstrated skills in coding
• A doctorate in Computer Science or Electrical Engineering or equivalent, with research experience in the area of Computer Vision
• Significant experience in the area of Deep Learning, both practical and theoretical, as applied to the area of Computer Vision
• Experience in supervising PhD students
• Exposure to deep learning methods and GPU preferred but not necessary
• Hands-on experience with developing highly scaleable commercial or industrial strength applications involving robotics and/or computer vision

I submit this application to express my sincere interest in the computer vision scientist position.

In the previous role, I was responsible for in-depth technical expertise and technical leadership on multi-modality imaging (optical, X-ray, ultrasound), covering fundamental physics, systems engineering, numerical modelling, and image reconstruction algorithms.

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• The applicant should also have strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Matlab, Python, R, C/C++) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations
• Demonstrated participation in external events/conferences/ technical communities as a leader/presenter
• Excellent judgment when assessing technical and business risk and is trusted to define the best course of action to help understand and minimize those risks
• Influences organization, customers, suppliers and peers within industry in area of specialization
• Sustained track record of delivering research & technology innovation
• PhD in Computer Science/Electrical Engineering or related fields with a focus on Computer Vision, emerging talent welcome to apply
• Expert level in machine learning, computer vision, and deep learning
• Proficiency in C/C++, Java, SQL, Python, and multi-threaded programming

I am excited to be applying for the position of computer vision scientist. Please accept this letter and the attached resume as my interest in this position.

Previously, I was responsible for a cloud-based image / video / 3D data processing solution to understand data and generate inspection reports automatically.

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• Experience architecting, developing, and deploying large-scale enterprise-level robotic applications using multi-threaded programs, parallel and high-performance distributed computing, and micro-services on a scaleable infrastructure
• Strong background in computer vision using unsupervised and supervised methods for semantic analysis and scene understanding of videos and images with a track record of publishing in top tier journals and conferences such as NIPS, CVPR and ICCV
• PhD in Computer Science or Computer, Electrical, Mechanical or Aerospace Engineering with a respectable publication record and/or patents in robotics and computer vision
• Solid foundation in arithmetic analysis and data structures
• Experience building simulations for assessing effectiveness of proposed robotic solutions
• Implementation experience with Robotic Operating System, Lightweight Communications and Marshalling, or Simultaneous Localization And Mapping techniques
• Strong object oriented programming experience, preferably in C/C++
• Expertise in augmented reality, structure-from-motion, visual SLAM, bundle adjustment, pose graph optimization and dense stereo correspondence

Please consider me for the computer vision scientist opportunity. I am including my resume that lists my qualifications and experience.

Previously, I was responsible for guidance and recommendation to project teams on requirements for data collection in field, lab or manufacturing settings and corresponding labeling, cataloging and storage needs;.

Please consider my experience and qualifications for this position:

• Experience with variety of cameras, sensors, actuators and configurations
• General object localization/Detection/Recognition/tracking
• Face detection/ alignment/ recognition/tracking/attribute recognition
• Pedestrian detection/ tracking/ re-identification
• Image segmentation/ video stabilization/ denoising / super-resolution / stitching / enhancement
• Experience with using and modifying Caffe code and/or other neural network development frameworks
• Knowledge of signal processing, linear algebra, OpenVX, GPGPU OpenCL/Cuda programming, image processing and compression techniques
• Ph.D., MS in computer science, electrical engineering, mathematics/statistics, imaging science, or other related areas with a record of work in the relevant domains

I am excited to be applying for the position of computer vision scientist. Please accept this letter and the attached resume as my interest in this position.

In my previous role, I was responsible for technical contributions in a fast-paced team environment to accelerate our efforts on building cutting-edge workflows and applications for capturing, processing and analyzing large data sets;.

Please consider my experience and qualifications for this position:

• Experience with generative adversarial network
• Top-tier publication records, including but not limited to SIGGRAPH, SIGGRAPH ASIA, CVPR, ICCV, ECCV, NIPS and ICML
• Broad and deep understanding and experience of applying machine learning and deep learning to real problems in the fields of vision and graphics
• Hands-on experience in Machine Learning, Deep Learning, Artificial Intelligence, and Data Science and their frameworks, such as Tensorflow, Pytorch, and Caffe
• Knowledge of 2D and 3D computer graphics and visualization techniques
• Knowledge of Computer Vision and/or Machine Vision
• Knowledge of geometry and topology concepts, representations and data structures (such as NURBS, splines, level sets, surface and volumetric meshes, point clouds, analytical surfaces/solids, functional representations, subdivision surfaces, T-splines)
• Experience with Computer Vision algorithms and robustness of the underlying signal processing