Job description

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 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.

Responsibilities:

• Designing, training, and optimizing novel computer vision algorithms.
• Planning, guiding, and leading medium to long-term projects involving multiple engineers.
• Seeing projects through from research to deployment.
• Devising and implementing performance metrics.
• Supervising complex data pipelines, from the collection stage, through annotation, to training models.

REQUIREMENTS

• M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. - Advantage
• A proven track record of at least 3 years hands-on experience in developing deep learning algorithms.
• Experience / knowledge in computer vision and image manipulation algorithms.
• In-depth, hands-on knowledge of deep learning fundamentals.
• 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.

Skills that are considered an advantage:

• Experience leading team projects.
• Proficiency in C++.
• Experience with Linux.
• Source control with git.

Job Type: Full-time

Salary: $160,000.00 - $220,000.00 per year

Benefits:

• Dental insurance
• Health insurance
• Paid time off
• Relocation assistance
• Vision insurance

Schedule:

• Monday to Friday

Ability to commute/relocate:

• San Jose, CA 95131: Reliably commute or willing to relocate with an employer-provided relocation package (Required)

Application Question(s):

• Do you have experience leading/supervising teammates?

Experience:

• Computer vision: 3 years (Required)

Work Location: One location

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