Lead Research Engineer
Skills
- Expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong programming skills in Python; familiarity with C/C++ is advantageous.
- Experience developing and deploying machine learning models for complex autonomous systems.
- Knowledge of reinforcement learning methods applied to autonomous vehicles.
- Ability to work within simulation or real-world validation environments.
Responsibilities
- Design and implement deep learning and reinforcement learning algorithms to improve perception, prediction, and decision-making for autonomous vehicles.
- Collaborate with cross-functional teams to integrate research prototypes into production-ready systems and simulation environments.
- Conduct research and experimentation on reinforcement learning strategies and deep architectures, rigorously evaluating performance.
- Leverage real-world and synthetic data to enhance model robustness and generalizability using scalable training pipelines.
Education
- PhD or Master's degree in Computer Science, Robotics, Machine Learning, or related fields, or equivalent practical experience.
Benefits
- Comprehensive platinum healthcare: medical, dental, vision plans at minimal or no cost.
- Life, AD&D, and long-term disability insurance fully covered.
- Generous PTO including holiday hiatus and paid caregiver & wellness leave.
- Family planning support including fertility, adoption, and gestational carrier coverage.
- Mental health resources available 24/7 with therapy and coaching.
- Professional development stipend and daily meals at many offices.
- Company-funded commuter benefits and relocation assistance where eligible.
- 401(k) retirement savings plan available for U.S. employees.
Average salary estimate
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