Robotics ML Scientist: Master Dexterous Capabilities

Generalist; Somerville (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

Generalist is seeking an Applied Scientist to advance dexterous manipulation models and post-training workflows. You will design experiments, evaluate capabilities, and drive robust, reusable solutions across applications, blending research, engineering, and operations.

This hybrid role requires a strong ML or robot-learning background, experience with large-scale experiments, and the ability to communicate findings to research teams and partners.

Qualifications

• PhD or equal experience in ML/robot learning.
• Strong background in machine learning and robot learning.
• Experience with large-scale experiments and rigorous evaluation.

Responsibilities

• Own end-to-end improvement of target capabilities from baseline to mastery.
• Design task suites and evaluation protocols that generalize beyond a single deployment.
• Coordinate data collection, training and fine-tuning models, sweeping data mixtures and configurations, and orchestrating large-scale evaluations.
• Run rigorous experimental analysis across model variants and data recipes.
• Leverage the stack in new ways and collaborate with pretraining/post-training teams to improve the model.

Skills

Data analysis at scale

Experimental design & statistics

Communication of findings

Education

PhD in a relevant area

Tools

PyTorch

TensorFlow

ROS

Job description

Generalist is seeking an Applied Scientist to advance dexterous manipulation models and post-training workflows. You will design experiments, evaluate capabilities, and drive robust, reusable solutions across applications, blending research, engineering, and operations.

This hybrid role requires a strong ML or robot-learning background, experience with large-scale experiments, and the ability to communicate findings to research teams and partners.