Research Scientist

• Design and develop robot autonomy software stack and algorithms to enable capabilities including grasping and more dexterous behaviors in unstructured environments
• Research and implement state-of-the-art robot learning policies, including reinforcement learning and imitation learning-based techniques
• Build reliable, high-speed robot autonomy software stack optimized for inference performance
• Design and maintain robust data collection and curation pipelines for production robot fleets
• Optimize robot policies for distributed training at scale and real-time edge deployment
• Ship production quality, safety-critical software

• Master's/PhD degree in Computer Science, Machine Learning, Robotics, or equivalent technical discipline
• Deep expertise in machine learning fundamentals, reinforcement learning, and associated frameworks (PyTorch, Tensor Flow, Ray, etc.)
• 3+ years of proven track record developing and deploying ML systems from research through production implementation
• Hands-on experience with model lifecycle management including training, deployment, and maintenance in production settings

• Design and develop robot autonomy software stack and algorithms to enable capabilities including grasping and more dexterous behaviors in unstructured environments
• Research and implement state-of-the-art robot learning policies, including reinforcement learning and imitation learning-based techniques
• Build reliable, high-speed robot autonomy software stack optimized for inference performance
• Design and maintain robust data collection and curation pipelines for production robot fleets
• Optimize robot policies for distributed training at scale and real-time edge deployment
• Ship production quality, safety-critical software

Salary Type :
Annual Salary

Salary Min : $ 120000

Salary Max : $ 250000

Currency Type : USD