about 4 hours ago
Houston, TX, USA or San Francisco, CA, USAMid Level / Senior
H1B Sponsor
Responsibilities
- Develop and train diverse, conditioned policies for realistic driving behavior simulation.
- Lead research and implementation of advanced RL algorithms with safety metrics as primary constraints.
- Collaborate with teams to design robust reward functions and evaluation metrics.
- Contribute to optimizing large-scale training environments for multi-agent scenarios.
- Advance neural architectures for improved spatial reasoning and planning.
- Integrate research-grade models into production-quality software with cross-team collaboration.
Requirements
- Proven experience in training and deploying deep RL algorithms for real-world systems.
- Expertise in Python and PyTorch, with a strong understanding of deep learning architectures.
- MS or PhD in Computer Science, Robotics, or a related quantitative field.
- Ability to diagnose and solve challenges in RL training, such as variance management.
Benefits
- Comprehensive health insurance.
- Paid time off.
- Opportunities for performance bonuses and equity.