12 days ago
Santa Clara, CA, USASenior / Staff+
Base Salary
$244k - $413k/yr
Responsibilities
- Lead the design of end-to-end VLA architectures.
- Drive R&D in generative world models for high-fidelity driving simulations.
- Apply advanced reinforcement learning to refine driving policies.
- Define scaling laws for driving foundation models and oversee data curation.
- Lead the adaptation strategy for overseas road conditions.
Requirements
- 5-8 years of expertise in Deep Learning with a focus on VLM, VLA, or Embodied AI.
- Proven experience in training and deploying Foundation Models at scale.
- Deep understanding of Sequential Decision Making and Policy Gradient methods.
- Mastery of PyTorch and expertise in distributed training.
- A 'Product-First' mindset balancing research with production requirements.
Benefits
- A fun, supportive, and engaging environment.
- Access to infrastructures and computational resources for ML development.
- Opportunity to work on cutting-edge technologies with top talent.
- Chance to significantly impact the transportation revolution.
- Competitive compensation package.
- Snacks, lunches, dinners, and fun activities.
Tech Stack
PyTorch
Categories
AI & MLData Science