Machine Learning Infrastructure Engineer, Safeguards Research

About the role

Anthropic’s Safeguards team builds the systems that detect and mitigate misuse of our AI models. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. We're looking for an engineer to own the infrastructure behind that research.

Key Responsibilities

• Build and scale the infrastructure and data pipelines behind Safeguards machine learning research
• 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
• Improve the throughput, cost, and reliability of large-scale inference and scoring workloads
• 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

Minimum Qualifications

• Strong software engineering fundamentals and hands-on coding ability, with proficiency in Python
• 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
• Comfort working across the research-to-deployment pipeline, from exploratory experiments to production systems
• Strong written and verbal communication skills, and a collaborative approach to technical decisions

Preferred Qualifications

• Experience with high-performance, large-scale machine learning systems
• Familiarity with language modeling and transformers, including working with model internals
• Experience with machine learning framework internals, GPU or accelerator programming, or inference optimization
• Experience building experiment tracking, caching layers, or evaluation harnesses for research teams
• Experience with probes, interpretability, or classifier development
• Interest in the misuse risks of AI systems and a desire to work on mitigating them

Annual Compensation Range

The annual compensation range for this role is $350,000—$500,000 USD.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• 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
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! 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.