Research Engineer / Research Scientist, Tokens
Core
Building large-scale ML systems from the ground up, focusing on reliability, throughput, efficiency, and scientific experiments for safe, steerable AI.
Role type
Research Engineer (ML Infrastructure)
Builds
Large-scale ML clusters, distributed training jobs, and dev tooling for language models.
Domain
Artificial Intelligence / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Software engineering, high-performance computing, distributed systems, PyTorch, Kubernetes, OS internals
Preferred skills
Language modeling with transformers, reinforcement learning, large-scale ETL
Technologies
PyTorch, Kubernetes, GPUs
Responsibilities
Making clusters reliable for big jobs, improving throughput and efficiency, running and designing scientific experiments, improving dev tooling, optimizing attention mechanisms, scaling distributed training jobs.
Seniority
Mid-to-Senior, hands-on IC