Machine Learning Infrastructure Engineer, Safeguards Research
Core
Build and scale infrastructure, data pipelines, and tooling to support Safeguards machine learning research for detecting and mitigating AI model misuse.
Role type
Senior Machine Learning Infrastructure Engineer (Safeguards Research)
Builds
Training, evaluation, and scoring workflows for lightweight detection methods; production-grade jobs for research experiments.
Domain
AI Safety / Machine Learning Infrastructure / Large-scale Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
Python, distributed systems, data pipelines, tooling design, performance debugging, research-to-deployment workflows
Preferred skills
high-performance ML systems, language modeling/transformers, GPU/accelerator programming, inference optimization, experiment tracking, probes/interpretability
Technologies
Python, GPU, accelerators, transformers
Responsibilities
Build and scale infrastructure and data pipelines for Safeguards ML research; Own training, evaluation, and scoring workflows; Design libraries and CLI tools for researchers; Implement correctness and sanity checking; Migrate high-value research workflows to production; Optimize throughput, cost, and reliability of inference/scoring workloads.
Seniority
Senior, hands-on IC
