Research Scientist, Data

What you'll do

• Set evaluation and data strategy across the training stack, identifying capability gaps and shaping the roadmap.
• Translate scientific workflows into evaluations, benchmarks, and RL environments; source and procure external datasets.
• Build pipelines and tools for data ingestion, transformation, researcher analysis, and model evaluation.

What they ask for

• Experience designing evaluations, benchmarks, or RL environments for language models, agents, or scientific AI systems.
• Experience building large-scale data pipelines for LLM pretraining, midtraining, post-training, or evaluation.
• Strong software and data engineering skills, including data processing at scale, dataset versioning, and lineage tracking.
• Strong judgment about dataset and evaluation quality, including scientific relevance, coverage, provenance, licensing, and contamination risks.

Nice to have

• Research experience in materials science, solid state chemistry, chemistry, computational physics, or semiconductors.

Pay

$250,000-350,000 USD base salary

Tools

LLM, RL

AI focus

Creates scientific AI evaluations, benchmarks, training datasets, and RL environments; integrates data to evaluate and improve AI models.