Senior Machine Learning Engineer - Perception & Embodied AIIsraelvcforum • Mountain View, California, United States
Senior Machine Learning Engineer - Perception & Embodied AI
Israelvcforum
- Mountain View, California, United States
- Mountain View, California, United States
Über
Responsibilities
End‑To‑End Model Lifecycle: Own design, training, validation, and deployment of deep learning models for core perception tasks such as 3D Object Detection and Tracking (vehicles, pedestrians, cyclists), real‑time map detection of the drivable world (lanes, road boundaries, traffic signs), and multi‑modal sensor fusion (Camera, LiDAR, Radar).
Production Pipeline: Build and scale the ML training infrastructure, including data mining and loading, multi‑stage training and evaluation, to streamline model development.
Performance Optimization: Improve model performance through data iterations, parameter tuning, training strategy, and architecture updates to meet strict real‑time, low‑latency requirements on the vehicle's embedded hardware.
Model Debugging: Conduct rigorous, data‑driven analysis to identify, debug, and resolve performance degradations and failures, specifically targeting long‑tail and adversarial scenarios (adverse weather, sensor noise, occlusions).
Metric Definition: Define and implement robust model‑level metrics to aid model development.
System Integration: Work closely with Safety, Systems, and other engineering functions to integrate Perception outputs.
Skills & Experience
BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related quantitative field.
5+ years of professional experience with a focus on Computer Vision, Deep Learning, and Perception in a production environment.
Deep hands‑on experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow) for training, experimentation, and debugging complex DNNs.
Proven experience working with and fusing data from multiple sensor modalities (Camera, LiDAR, and/or Radar).
Practical experience deploying and optimizing ML models for resource‑constrained, real‑time embedded systems.
Demonstrated ability to drive model improvements through large‑scale data analysis, error logging, and data curation.
Bonus
Expertise with Transformer‑based models for 3D detection, tracking, and scene understanding.
Technical leadership experience, including mentoring junior engineers and leading major feature development from concept to launch.
Contributions to relevant academic publications (CVPR, ECCV, ICCV, IROS, NeurIPS, etc.).
Remote This role is based remotely. If you live within a 50‑mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times per week, at minimum.
Compensation
The salary range for this role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Non‑Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
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Sprachkenntnisse
- English
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