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Senior Machine Learning Engineer - Scene Understanding (Algo Group)

Today Ra'anana, Israel

Description

GM Israel takes a significant part in introducing software sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.

At GM's Camera Viewing Group , our Algo team develops and deploys cutting-edge neural networks optimized for automotive edge devices. Our work spans both in-vehicle applications (e.g., cabin monitoring, driver/passenger safety) and out-of-vehicle perception (e.g., object detection). We are looking for a ML Engineer to drive innovation from research and prototyping in Python all the way to deployment on automotive edge hardware.

Key Responsibilities

  • Design and implement advanced NN architectures for scene understanding tasks such as object detection, segmentation, and classification.
  • Train, fine-tune, and validate models on large-scale, real-world datasets to ensure robustness in diverse driving scenarios.
  • Optimize models for edge devices through techniques such as quantization, pruning, distillation, and hardware-aware training-balancing latency, memory, and power constraints.
  • Compile, deploy, and test NNs on automotive NN acceleration hardware platforms.
  • Collaborate closely with software and systems teams to allow seamless integration into the vehicle software pipeline.
  • Stay current with research trends in computer vision and efficient deep learning and help translate them into production-ready solutions.

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Additional Description

Required Qualifications

  • Bachelor's or advanced degree in Computer Science.
  • Background in machine Learning.
  • Proven experience in designing, training, and evaluating deep NN models using PyTorch or equivalent frameworks.
  • Hands-on experience with model compression, quantization, and deployment for resource-constrained devices.
  • Strong proficiency in Python and C++, with experience in edge or embedded computing.
  • Excellent communication and teamwork skills, with a strong motivation to work in a collaborative environment.

What will make you stand out in the crowd

  • M.Sc./Ph.D. in computer science
  • Background in computer vision
  • Experience in transferring neural networks into embedded environment
  • Experience in the automotive industry

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

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Client-provided location(s): Ra'anana, Israel
Job ID: General_Motors-JR-202514846
Employment Type: FULL_TIME
Posted: 2025-08-21T00:15:03

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Happy Hours
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Performance Bonus
    • Relocation Assistance
    • Stock Purchase Program
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Woman founded/led
    • Employee Resource Groups (ERG)

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