Senior Deep Learning Engineer - Perception

Imagry

$130K — $180K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • M.Sc. in CS, EE, Physics, or relevant field; Ph.D. is a plus
  • At least 3 years of experience in deep learning algorithms
  • Expertise in computer vision and image processing techniques
  • Proficient with deep learning frameworks like PyTorch
  • Strong mathematical skills in probability, vector algebra, and geometry
  • Fluent in Python programming
  • Experience managing long-term research or development projects
  • Effective written and verbal communication skills in English

Responsibilities

  • Collaborate with Deep Learning Engineers and Safety Drivers in San Jose
  • Oversee data pipeline management, from collection to model training
  • Design and enhance deep neural networks with innovative features
  • Take end-to-end ownership of medium to long-term projects
  • Establish and apply performance metrics for algorithm effectiveness
  • Present and visualize results effectively to stakeholders
  • Ensure algorithm alignment with product requirements

Benefits

  • Work on cutting-edge deep vision technologies
  • Opportunity to innovate and develop impactful solutions
  • See projects deployed in real-world autonomous vehicles
  • Collaborate with a diverse, cross-functional team
  • Dynamic work environment with flexible communication across time zones
Full Job Description
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

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
  • Basic proficiency in C++
  • Experience with Linux
  • Source control with git

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