Hiring: Machine Learning Infrastructure Engineer, Safeguards Research Company: Anthropic Location: San Francisco, CA Job Posted Time: 2026-09-10 07:38:22 Employment Type: Hybrid Target Skills & Keywords : Data Pipeline, Machine Learning, Python, SAFe, Sanity, Transformers About the job Experience: •Years of experience required will correlate with the internal job level requirements for the position •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. •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. •We encourage you to apply even if you do not believe you meet every single qualification. •Your safety matters to us. Required Skills: •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 •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 •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 Qualifications: •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 •Demonstrated capacity to debug performance and correctness problems across an unfamiliar stack •Strong written and verbal communication skills, and a collaborative approach to technical decisions •Operational familiarity with language modeling and transformers, including working with model internals •Interest in the misuse risks of AI systems and a desire to work on mitigating them •The annual compensation range for this role is listed below. •For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. •Bachelor’s degree or an equivalent combination of education, training, and/or experience Compensation: •$350,000 - $500,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!