Senior Deep Learning Engineer - Perception
Senior deep learning engineer building computer-vision perception algorithms for Imagry's autonomous driving system: designing and optimizing deep neural networks, managing data pipelines from collection through annotation to training, and seeing models deployed on road-going autonomous vehicles. Core stack: PyTorch, Python, deep learning/CV.
- Compensation
- Not disclosed
- Location
- San Jose, CA
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- M.Sc. or equivalent work experience in CS, EE, Physics, or other quantitative fields from a leading university
- At least 3 years of hands-on experience developing deep learning algorithms
- Experience in computer vision and image processing algorithms (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: probability, vector algebra, geometry
- Proficiency in Python programming
- Experience conducting long-term development and/or research projects in academia or industry
- Proficiency in English, written and spoken
- Team player with strong collaboration across teams
- Eligible to work in the US
Nice to have
- Ph.D.
- Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning
- Basic proficiency in C++
- Experience with Linux
- Source control with git
Full description
Senior Deep Learning Engineer, Computer Vision
imagry.E4.E30@comeetapply.com
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
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