Robotics ML Research Scientist (Fine-Tuning & RL)

Generalist; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Generalist in San Francisco is seeking a talented individual to contribute to the development of general-purpose robots. In this role, you will design fine-tuning and adaptation strategies for various robotic tasks, while also developing methods to enhance reliability and controllability.

Your background in fine-tuning large models and embodied AI is essential, as you will have the opportunity to apply your skills in a dynamic environment that bridges research with real-world applications. Join us on our mission to revolutionize how humans and machines collaborate.

Qualifications

• Experience with RLHF, IL, RL, distillation, and domain adaptation.
• Comfortable debugging and evaluating performance of ML systems.

Responsibilities

• Design fine-tuning and adaptation strategies for robotic tasks.
• Develop methods to improve reliability and controllability.
• Build evaluation frameworks for real-world performance.
• Improve inference-time performance in collaboration with ML infrastructure.
• Leverage techniques such as imitation learning and synthetic data.

Skills

Experience with fine-tuning large models

Embodied AI experience

Evaluation and benchmarking

Debugging across the ML stack

Rapid iteration with feedback loops

Job description

Generalist in San Francisco is seeking a talented individual to contribute to the development of general-purpose robots. In this role, you will design fine-tuning and adaptation strategies for various robotic tasks, while also developing methods to enhance reliability and controllability.

Your background in fine-tuning large models and embodied AI is essential, as you will have the opportunity to apply your skills in a dynamic environment that bridges research with real-world applications. Join us on our mission to revolutionize how humans and machines collaborate.