Applied Scientist: Dexterous Robotics & Foundation Models

Generalist; Medford Hillside (MA); On-site; USD 150,000 - 230,000; Full time

Job summary

Generalist seeks an Applied Scientist to advance dexterous task capabilities across models and real-world deployments. This role blends research, engineering, and operations, and expects excellence in all three areas.

You will define success criteria, build evaluations, and run experiments to push post-training improvements. You will coordinate data collection, training, and fine-tuning, sweeping data configurations and orchestrating large-scale evaluations.

Qualifications

• Strong background in machine learning or robot learning.
• Experience with data analysis at scale is a plus.
• Ability to design and run rigorous experiments.

Responsibilities

• Owning end-to-end improvement of target capabilities, from baseline performance to mastery
• Designing task suites and evaluation protocols that capture research and customer needs
• Coordinating data collection, training and fine-tuning models, sweeping data configurations and orchestrating large-scale evaluations
• Running rigorous experimental analysis across model variants and diagnosing failure modes
• Using the stack in new ways and collaborating with pretraining and post-training teams to improve the model

Skills

Machine learning

Robot learning

Data analysis

Experimentation

Job description

Generalist seeks an Applied Scientist to advance dexterous task capabilities across models and real-world deployments. This role blends research, engineering, and operations, and expects excellence in all three areas.

You will define success criteria, build evaluations, and run experiments to push post-training improvements. You will coordinate data collection, training, and fine-tuning, sweeping data configurations and orchestrating large-scale evaluations.