Applied Scientist

The role

Applied Scientists own the mastery of new frontier model capabilities. You will develop post-training recipes for dexterous tasks and drive the post-training loop through experimentation and evaluation.

What you will do

• Owning end-to-end improvement of target capabilities, from baseline performance to mastery
• Designing task suites and evaluation protocols
• Coordinating data collection, training and fine-tuning models
• Sweeping data mixtures and configurations
• Orchestrating large-scale evaluations
• Running rigorous experimental analysis across model variants
• Isolating variables, quantifying statistical confidence, and diagnosing failure modes from rollout data
• Working with pretraining and post-training teams to improve the model

Required qualifications

• Strong background in machine learning and/or robot learning (e.g. a PhD in a relevant area)

Nice to have

• Comfortable with data analysis at scale
• Care deeply about evaluation, benchmarking, and failure analysis
• Enjoy rapid iteration with real-world feedback loops
• Willing to get hands-on with robots and physical task setups
• Motivated by making capabilities work for real applications
• Can communicate findings clearly to both research teams and partner-facing teams

About the company

Generalist is on a mission to build general intelligence for the physical world. They build embodied foundation models with a focus on dexterity.