Anthropic

Machine Learning Infrastructure Engineer, Safeguards Research

San Francisco, CA | New York City, NY

H1B sponsorship available$350k-$500kDetected 13 hours ago

PythonDistributed SystemsMachine LearningData EngineeringNLPDetection EngineeringLogisticsResearchCommunication

About the role

A growing part of that work depends on lightweight detection methods trained on model internals, which let us identify harmful behavior cheaply and at scale.
This work feeds directly into Anthropic's Responsible Scaling Policy commitments.
This is the tooling our researchers rely on to run experiments, train detection methods, and select detections for launch.

Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result
Design tooling and interfaces, including libraries and command line tools, that researchers can use directly without needing to understand the systems underneath
Build correctness and sanity checking into the stack, so results stay trustworthy as models and workloads evolve
Partner closely with researchers and engineers across Safeguards to understand their workflows, anticipate how their needs will change, and design for that ahead of time
Experience building and operating data-intensive or distributed systems in production
Experience building tooling or infrastructure that other engineers or researchers use as a dependency

Strong software engineering fundamentals and hands-on coding ability, with proficiency in Python
Comfort working across the research-to-deployment pipeline, from exploratory experiments to production systems
Ability to debug performance and correctness problems across an unfamiliar stack
Years of experience required will correlate with the internal job level requirements for the position
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Familiarity with language modeling and transformers, including working with model internals
Experience with probes, interpretability, or classifier development
Interest in the misuse risks of AI systems and a desire to work on mitigating them

Take the highest-value research workflows from experiments to reliable, production-grade jobs
Improve the throughput, cost, and reliability of large-scale inference and scoring workloads

Build and scale the infrastructure and data pipelines behind Safeguards machine learning research
Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

However, we aren't able to successfully sponsor visas for every role and every candidate.
But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We do sponsor visas!

This listing is sourced directly from Anthropic's careers page and normalized into a canonical job model.