AI Engineer - Reinforcement Learning (Senior)
Tasks
- Build lead and mentor software engineering team
- Create and maintain documentation and best practices
- Design and refine algorithms for real world locomotion
- Develop reinforcement learning algorithms
- Enable autonomous motor control from sensor input
- Implement deployment ready robot code
- Innovate simulated and real world data methods
- Optimize code for robot compute constraints
- Provide AI guidance to product managers and executives
Perks/Benefits
Skills/Tech-stack
Artificial neural networks | Autonomy | C plus plus | Computer Vision | Deep learning | Domain Adaptation | Exploration/exploitation | Imitation Learning | Manipulation | Markov Decision Process | Model Free Reinforcement Learning | Model-based reinforcement learning | Neural Networks | Policy Optimization | Production Code | Python | Reinforcement Learning | Robotics | Self-Supervised Learning | Self-supervised | Sim-to-Real | Sim-to-Real Transfer | Supervised Learning | Transfer Learning
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Reinforcement Learning Engineer
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