Machine Learning Systems Engineer (AI)

Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time, with some roles requiring more office time.

Annual salary: $500,000–$850,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Build, maintain, and improve algorithms and infrastructure for training production Claude models and internal research models.
• Improve the speed, reliability, robustness, and usability of reinforcement learning and finetuning systems.
• Profile reinforcement learning pipelines and diagnose performance degradation in training runs.
• Build automated test-environment training jobs and instrumentation for detecting pipeline problems and Python GIL contention.
• Adapt finetuning systems to new model architectures and implement stable, fast versions of research training algorithms.

Requirements

• At least 4 years of software engineering experience.
• Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field.
• Experience building systems and tools that improve researcher productivity.
• Strong results orientation, flexibility, ownership, collaboration, and communication skills.
• Ability to work from one of Anthropic’s United States offices at least 25% of the time.

Nice to have

• Experience with high-performance, large-scale distributed systems.
• Experience with large-scale LLM training.
• Proficiency in Python.
• Experience implementing LLM finetuning algorithms such as RLHF.
• Interest in machine learning research and the societal impact of AI.

Culture & Benefits

• Collaborative research environment focused on large-scale AI safety and capability projects.
• Frequent research discussions and pair programming.
• Flexible working hours and an office environment designed for collaboration.
• Generous vacation and parental leave.
• Optional equity donation matching.
• Visa sponsorship is available when feasible, with immigration lawyer support.