Data Infrastructure Engineer

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.

• Design and implement data processing infrastructure for large language model training (highly performant, reproducible, traceable).
• Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability.
• Build robust systems for data quality assurance and validation at scale.
• Collaborate with research teams to implement novel data processing architectures.
• Build and operate end-to-end data pipelines that turn raw web-scale corpora into training-ready datasets.

• 5+ YOE outside of internships.
• Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems.
• Hands-on experience with distributed computing frameworks, particularly Apache Spark.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work in a collaborative environment.
• Advanced degree in Computer Science or related field.
• Experience with language model training infrastructure.
• Background in Data Infrastructure, MLOps, or ML infrastructure.
• Strong candidates may have: significant experience building high-throughput fault-tolerant distributed systems; expertise with Python and Rust; passionate about system reliability and performance; comfortable working with ambiguous requirements and evolving specifications; take ownership of problems and drive solutions independently; excited about contributing to the development of safe and ethical AI systems; can balance technical excellence with practical delivery; eager to learn about machine learning research and its infrastructure requirements.

• Annual compensation range: $500,000 - $850,000 USD.
• 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.
• We encourage you to apply even if you do not believe you meet every single qualification.