1 day ago
Base Salary
$350k - $850k/yr
Responsibilities
- Design and implement large-scale infrastructure for AI scientist training, evaluation, and deployment across distributed environments.
- Identify and resolve infrastructure bottlenecks affecting scientific AI capabilities.
- Develop reliable evaluation frameworks for measuring progress toward scientific AGI.
- Build scalable VM, sandboxing, and container architectures for long-horizon AI tasks and scientific workflows.
- Translate experimental requirements into production-ready infrastructure in collaboration with researchers.
- Develop large-scale data pipelines for advanced language model training.
- Optimize training and inference pipelines for stable and efficient reinforcement learning.
Requirements
- 6+ years of highly relevant infrastructure engineering experience with expertise in large-scale distributed systems.
- Deep knowledge of performance optimization and system architectures for high-throughput ML workloads.
- Experience with Docker, Kubernetes, container orchestration, large-scale data pipelines, and distributed storage systems.
- Ability to diagnose and resolve complex infrastructure challenges in production environments across the ML stack.
- Experience collaborating with researchers to scale experimental ideas and rapidly move from experimentation to production.
- Preferred qualifications include language model training infrastructure, PyTorch, JAX, AI research lab infrastructure, GPU/TPU architectures, inference optimization, AWS, GCP, workflow orchestration, experiment management, reinforcement learning, Beam, Spark, and Dask experience.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.
Benefits
- Annual base salary range of $350,000-$850,000 USD.
- Hybrid work policy requiring staff to be in an Anthropic office at least 25% of the time, with some roles requiring more office time.
- Anthropic sponsors visas and makes reasonable efforts to obtain visas for candidates who receive offers, though sponsorship is not successful for every role or candidate.
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
Tech Stack
Categories
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.