Robotics ML Research Scientist: Real-Time Autonomy & RL

Rainfall Ventures; San Francisco (CA); On-site; USD 120,000 - 250,000; Full time

Benefits offered by this job

Publishing support for robotics/ML conferences

Medical, dental, and vision plans

Daily meals stipend

Job summary

Rainfall Ventures in San Francisco is searching for an innovative engineer to design and develop robot autonomy software, focusing on advanced machine learning algorithms for dexterous behaviors. Candidates must hold a Master's or PhD in a relevant field and have significant ML expertise.

The role features exciting opportunities to advance research while bridging theoretical knowledge with practical applications. The ideal candidate has over 3 years in ML systems deployment and offers a salary range of $120,000 to $250,000 annually plus benefits.

Qualifications

• Deep expertise in machine learning fundamentals and reinforcement learning.
• 3+ years of experience developing and deploying ML systems.
• Hands-on experience in model lifecycle management including training and deployment.

Responsibilities

• Design and develop robot autonomy software stack.
• Research and implement robot learning policies.
• Build high-speed robot autonomy software stack.

Skills

Machine Learning

Robotics

Reinforcement Learning

Software Development

Education

Master’s/PhD in Computer Science, Machine Learning, Robotics

Tools

PyTorch

TensorFlow

Ray

Job description

Rainfall Ventures in San Francisco is searching for an innovative engineer to design and develop robot autonomy software, focusing on advanced machine learning algorithms for dexterous behaviors. Candidates must hold a Master's or PhD in a relevant field and have significant ML expertise.

The role features exciting opportunities to advance research while bridging theoretical knowledge with practical applications. The ideal candidate has over 3 years in ML systems deployment and offers a salary range of $120,000 to $250,000 annually plus benefits.