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Researches, designs, develops, trains, and deploys computer vision and machine learning models. Builds and maintains ML software, testing and validation processes, and documentation. Applies image and video processing, deep learning, and computer vision techniques across edge and cloud-based platforms while improving existing applications and performance.
JOB SUMMARY:
The research team at ECRS is looking for a talented, experienced individual who is fearless in tackling real world problems with efficient, practical Machine Learning (ML) solutions and demonstrate excellence in computer vision.
RESPONSIBILITIES:
- Research, design, develop and train new machine learning models or adapt and apply existing models and applications.
- Design or develop software systems using design and functional specifications, scientific analysis, good software development practices, and mathematical models.
- Write, update, and maintain computer applications and software packages to handle specific jobs based on machine learning.
- Develop and direct software system testing and validation procedures.
- Review and modify existing software to correct errors, adapt to new hardware, and upgrade interfaces and improve performance.
- Direct software programming and development of corresponding documentation.
REQUIRED QUALIFICATIONS:
- Advanced degree in Computer Science, Statistics, Mathematics or similar, or a comparable career in the industry with an exceptionally good record of successful projects.
- Minimum 3-5 years of industry experience in computer vision delivering successful solutions.
- Good understanding of machine learning, statistics, and mathematics.
- Experience and exceptionally good proficiency in Python and Java, or C/C++.
- Proficient knowledge and experience with image classification, detection, tracking, etc.
- Proficiency in image/video processing and computer vision tools.
- Proficiency in machine learning tools and frameworks such as PyTorch, TensorFlow or similar.
- Experience working with edge devices.
- Experience with modern deep learning techniques in CV including convolutional networks, residual networks, attentional models, etc.
- Familiarity with machine learning workflow.
- Familiarity with cloud-based machine learning platforms.
- Experience in software testing and debugging including the use of automated testing processes.
- Familiarity with relational databases.
- Familiarity with SQL.
- Basic understanding of a retail environment & operations.
- Strong written and verbal communication skills.
PREFERRED QUALIFICATIONS:
- Experience with deep learning infrastructure is a plus.
- Experience with NLP is a plus.
- Proficiency in statistical analysis is a plus.
- Experience with parallel computing technologies or distributed computing techniques is a plus.
ALL APPLICANTS MUST BE AUTHORIZED TO WORK IN THE UNITED STATES.
ABOUT ECRS:
ECRS is a fast-paced, progressive technology company with a wide range of opportunities for quality-oriented, career-minded individuals. Geographically situated in the heart of the Blue Ridge Mountains, ECRS offers the unique opportunity of a high-tech career in a resort college town setting. The ECRS family is made up of energetic, outgoing professionals who love what they do for a living. They are courteous, knowledgeable people who strive for excellence in everything they do. ECRS employees work together in dynamic teams to create, sell, install, and support our best-in-class retail automation solutions.
We believe that acceptance of diversity is a key reason as to why we're successful. All qualified applicants who can demonstrate integrity and competence will receive consideration for employment and advancement without regard to race, color, religion, gender, sexual orientation, disability, age, political affiliation, or national origin.
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San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
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