Periodic Labs · 3 months ago
Research Engineer - Midtraining
United States
Full-time
Remote
Mid LevelPeriodic Labs is an AI + physical sciences lab focused on making novel scientific discoveries through advanced models. The role involves training frontier models for reinforcement learning and developing methods for synthetic data generation and continual learning at scale while collaborating with researchers and engineers.
Artificial Intelligence (AI)Foundational AIGenerative AIMachine Learning
Responsibilities
Train frontier models to be highly knowledgeable scientific experts that serve as the foundation for reinforcement learning
Develop methods for synthetic data generation, distillation, and continual learning at scale
Work closely with RL researchers, physicists, and chemists to create evals that guide scientific data curation
Collaborate with supercompute engineers to scale compute-efficient LLM training to thousands of GPUs
Build high-performance tools for investigating how data shapes intelligence
Qualification
Required
Experience with training LLMs on curated mixes of trillions of tokens
Experience with calculating scaling laws and compute-optimal hyperparameters
Experience with generating billions of tokens of high-quality synthetic data
Experience with building evals that correlate with downstream task performance
Company
Periodic Labs
Periodic Labs develops artificial intelligence systems that simulate and predict the properties of materials using machine learning.
Founded in 2025
11-50 employees
H1B Sponsorship
Periodic Labs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
Funding
Current Stage
Early StageTotal Funding
$300M2025-09-30Seed· $300M
Recent News
Business Insider
2025-12-26
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2025-12-20
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