Research Scientist, Data

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.

View jobs by Periodic Labs

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own evaluation and data strategy across the training stack. You will translate scientific workflows into benchmarks and reinforcement-learning environments, source datasets, build large-scale data pipelines, and create analysis tooling to evaluate model performance and data quality.

Requirements

  • Evaluation
  • Benchmark
  • Reinforcement learning
  • Scientific AI
  • Data pipeline
  • LLM pretraining
  • Dataset versioning
  • Data lineage
  • Data processing
  • Data quality
  • Data provenance
  • Licensing
  • Contamination analysis
  • Materials science
  • Chemistry
  • Computational physics
  • Semiconductor

Responsibilities

  • Own evaluation and data strategy across the training stack
  • Translate scientific workflows into evaluations, benchmarks, and reinforcement-learning environments
  • Source, evaluate, and procure external datasets
  • Build pipelines to ingest, clean, and transform large-scale datasets
  • Build tooling and analysis workflows for data inspection and model-failure analysis

Benefits

  • Equity
  • Visa sponsorship
Research Scientist, Data at Periodic Labs | JobStash