Periodic Labs
Research Engineer - Midtraining
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Periodic Labs
About Periodic Labs
We are an AI + physical sciences lab building state‑of‑the‑art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identify and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission.
About The Role You will train frontier models to be highly knowledgeable scientific experts that serve as the foundation for reinforcement learning. You will develop methods for synthetic data generation, distillation, and continual learning at scale. You will work closely with RL researchers, physicists, and chemists to create evals that guide scientific data curation. You will collaborate with super‑compute engineers to scale compute‑efficient LLM training to thousands of GPUs. You will build high‑performance tools for yourself to investigate how data shapes intelligence.
Experience
Training LLMs on curated mixes of trillions of tokens
Calculating scaling laws and compute‑optimal hyperparameters
Generating billions of tokens of high‑quality synthetic data
Building evals that correlate with downstream task performance
Seniority level Internship
Employment type Full‑time
Job function Engineering and Information Technology
Referrals increase your chances of interviewing at Periodic Labs by 2×.
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Periodic Labs
About Periodic Labs
We are an AI + physical sciences lab building state‑of‑the‑art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identify and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission.
About The Role You will train frontier models to be highly knowledgeable scientific experts that serve as the foundation for reinforcement learning. You will develop methods for synthetic data generation, distillation, and continual learning at scale. You will work closely with RL researchers, physicists, and chemists to create evals that guide scientific data curation. You will collaborate with super‑compute engineers to scale compute‑efficient LLM training to thousands of GPUs. You will build high‑performance tools for yourself to investigate how data shapes intelligence.
Experience
Training LLMs on curated mixes of trillions of tokens
Calculating scaling laws and compute‑optimal hyperparameters
Generating billions of tokens of high‑quality synthetic data
Building evals that correlate with downstream task performance
Seniority level Internship
Employment type Full‑time
Job function Engineering and Information Technology
Referrals increase your chances of interviewing at Periodic Labs by 2×.
#J-18808-Ljbffr