Anthropic

Machine Learning Systems Engineer

onsite (at least 25% of time)onsiteUSD 320,000–405,000
Apply on company site

Skills

machine learning expertisesoftware engineering experience

About the role

Machine Learning Systems Engineer, Research Tools About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We are seeking an experienced Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross-functional role will be instrumental in developing and optimizing the encodings and tokenization systems used throughout our Finetuning workflows. As a bridge between our Pretraining and Finetuning teams, you'll build critical infrastructure that directly impacts how our models learn from and interpret data. Your work will be foundational to Anthropic's research progress, enabling more efficient and effective training of our AI systems while ensuring they rem

Applying with JobFu tracks this in your pipeline automatically.

Free AI résumé tailoring, interview prep, and matches across 40+ countries.

Apply on company site