Research Engineer Midtraining
Periodic LabsVisit Periodic Labs website
AI research and deployment company building AI scientists and autonomous laboratories for physical-science discovery.
Menlo Park, United States
About Periodic Labs
Periodic Labs develops specialized AI models and high-throughput autonomous labs that run and analyze physical experiments, initially for materials discovery including superconductors, magnets, and semiconductor applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will curate and generate scientific training data, build evaluations, and run large-scale model-training experiments. You will apply distillation techniques, investigate how data choices affect model intelligence, and develop tools that support data, evaluation, and training work.
Requirements
- LLM training
- Data curation
- Evaluation
- Self-distillation
- On-policy distillation
- Scaling law
- Compute-optimal hyperparameter
- Training infrastructure
Responsibilities
- Identify process and curate scientific data for model training
- Generate synthetic scientific data
- Build evaluations for downstream scientific tasks
- Apply self-distillation and on-policy distillation techniques
- Design and run large-scale training experiments
- Build tools to investigate how data choices shape model intelligence
Benefits
- Visa sponsorship