Computer Vision Engineer

Imagry | Autonomous Driving; San Jose (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Imagry | Autonomous Driving is seeking a Senior Deep Learning Engineer for computer vision to join the San Jose R&D team. The role focuses on developing and integrating novel deep-vision perception algorithms at the core of our autonomous driving system.

You will work on cutting-edge deep vision methods, iterate on ideas, and see results deployed in our autonomous vehicles. Reporting to the Perception Team Leader in San Jose, you will collaborate across multi-time-zone teams and guide

Qualifications

• M.Sc. or equivalent in CS, EE, Physics or similar from a leading university.
• Ph.D. is an advantage for candidates.
• 3+ years hands-on experience in deep learning development.
• Experience with computer vision: classification, detection or segmentation.
• Proficiency in Python and deep learning fundamentals.
• Experience with PyTorch.
• Strong math: probability, linear algebra, geometry.

Responsibilities

• Collaborate with SJ site Deep Learning Engineers, Safety Drivers & Test Engineers.
• Supervise data pipelines from collection to annotation and model training.
• Design and optimize deep neural networks with feature engineering.
• Own medium to long-term projects end-to-end.
• Develop performance metrics and report results.
• Communicate and visualize results to stakeholders.
• Align algorithms with product needs.

Skills

Python

Deep Learning

English

Teamwork

Education

MSc or equivalent

PhD – Advantage

Tools

PyTorch

Job description

Senior Deep Learning Engineer, Computer Vision

Location: San Jose, CA , On Site

We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team.

The engineer will work on devising, developing, and integrating novel deep-vision-based perception algorithms at the heart of our autonomous driving system.

This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles.

Position report to the Perception Team Leader in San Jose.

Responsibilities:

Cooperate with the SJ site Deep Learning Engineers, Safety Drivers & Test Engineers.

• Work closely with deep learning engineers and tech leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment.
• Supervise complex data pipelines, from the collection stage, through annotation, to model training.
• Design and optimize deep neural networks ( Requires innovative feature engineering).
• Assume end-to-end responsibility over medium to long-term projects.
• Devise and implement performance metrics.
• Communicate, present, and visualize results.
• Align the algorithms with the product needs.

Requirements:

• M.Sc. or equivalent work experience in CS, EE, Physics, or other quantitative fields from a leading university. Ph.D. – Advantage
• A proven track record of at least 3 years of hands-on experience in developing deep learning algorithms
• Experience and knowledge in computer vision and image processing algorithms, including classification, object detection, and/or semantic segmentation
• In-depth, hands-on knowledge of deep learning fundamentals
• Hands-on experience with deep learning frameworks such as PyTorch
• Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry
• Proficiency in Python programming
• Experience in conducting long-term development and/or research projects, in either academia or industry
• Proficiency in English, both written and spoken
• Team player - Able to foster a positive and cooperative work environment by maintaining strong collaboration within the team and building productive relationships with other teams across the company
• Eligible to work in the US

Skills that are considered an advantage:

• Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning