Robotics ML Research Scientist - Real-World Deployment

Generalist; Somerville, San Mateo (MA, CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Generalist in Somerville seeks a skilled ML roboticist to train large pretrained models into production-ready systems. The role involves designing adaptation strategies and developing reliable methods for robotics, focusing on real-world metrics.

The ideal candidate should have experience with fine-tuning models, work in robotics, and be comfortable debugging across the ML stack. Equal opportunity employer with a commitment to diversity.

Qualifications

• Experience with fine-tuning for downstream tasks.
• Worked on embodied AI, robotics, or real-world ML systems.
• Care about evaluation, benchmarking, and failure analysis.

Responsibilities

• Design fine-tuning and adaptation strategies.
• Develop methods for reliability and robustness.
• Build evaluation frameworks for real-world performance.
• Improve inference-time performance.
• Leverage techniques like imitation learning and synthetic data.

Skills

Experience with fine-tuning large models

Understanding of reinforcement learning

Experience in robotics

Debugging across the ML stack

Job description

Generalist in Somerville seeks a skilled ML roboticist to train large pretrained models into production-ready systems. The role involves designing adaptation strategies and developing reliable methods for robotics, focusing on real-world metrics.

The ideal candidate should have experience with fine-tuning models, work in robotics, and be comfortable debugging across the ML stack. Equal opportunity employer with a commitment to diversity.