42dot
Sr. Machine Learning Engineer, Autonomy
$210K–$300K
Sunnyvale, United States · Senior · Full-time · Posted Oct 27, 2026
- Experience
- 5+ years of experience building ML systems.
- Education
- Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
About the job
Build and deploy production-ready autonomy systems for vehicles, leading architecture and technical initiatives across end-to-end driving, foundation models, VLA models, and world models.
What you'll do
- Lead development of end-to-end driving, VLA, or world model systems and define scalable autonomy architectures.
- Adapt foundation models for autonomous driving and drive technical initiatives from concept to deployment.
- Improve training, evaluation, and data efficiency; mentor engineers and support team growth.
What they ask for
- Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
- 5+ years of experience building ML systems and a proven track record of shipping production ML systems.
- Experience leading technical projects from concept to deployment.
- Strong Python and PyTorch (or JAX) skills; demonstrated ownership and ability to solve difficult, ambiguous technical problems.
Nice to have
- Autonomous driving or robotics experience; end-to-end driving, VLA/VLM models, world models, or foundation models.
- Large-scale distributed training; simulation, synthetic data, or safety-critical systems; publications at top conferences.
Pay
$210,000 - $300,000 (USD; base salary)
Tools
Python, PyTorch, JAX, VLA, VLM
AI focus
Develop ML-first autonomous driving systems, including end-to-end learning, VLA and world models; adapt foundation models for driving and improve training, evaluation, and data efficiency.
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