Research Scientist, Data

The role

You will own the evaluation and data strategy across the training stack. You will work with computational and experimental scientists to build datasets, environments, and pipelines to create a feedback loop between scientific use cases, model evaluation, and training data.

What you will do

• Own the evaluation and data strategy across the training stack
• Work with domain experts to translate scientific workflows into evals, benchmarks, and RL environments
• Source, evaluate, and procure external datasets
• Build pipelines to ingest, clean, and transform large-scale datasets
• Build tooling and analysis workflows to help researchers inspect data and understand model failures

Required qualifications

• Bachelor’s degree or similar experience
• Designed evaluations, benchmarks, or RL environments for language models, agents, or scientific AI systems
• Built large-scale data pipelines for LLM pretraining, midtraining, post-training, or evaluation
• Strong judgment about dataset and evaluation quality
• Strong software and data engineering skills
• Familiarity with data processing at scale, dataset versioning, lineage tracking
• Research-oriented mindset
• Research experience in areas such as materials science, solid state chemistry, chemistry, computational physics, semiconductors

Benefits

• equity

Before you apply

• Visa sponsorship: Yes, we sponsor visas.

About the company

Periodic Labs is an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond.