2 months ago
Base Salary
$500k - $850k/yr
Responsibilities
- Architect and optimize reinforcement learning infrastructure, including training abstractions and distributed experiment management across GPU clusters.
- Design, implement, and test training environments, evaluations, and methodologies for reinforcement learning agents.
- Improve system performance through profiling, optimization, benchmarking, caching, and distributed-systems debugging.
- Develop automated testing frameworks, clean APIs, and scalable infrastructure for AI research.
- Collaborate with researchers and engineers to advance agentic models, reasoning capabilities, computer use, and autonomous software generation.
Requirements
- Proficiency in Python and asynchronous or concurrent programming, including frameworks such as Trio.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
- Industry experience in machine learning research and the ability to combine research exploration with engineering implementation.
- Strong systems design, communication, code quality, testing, and performance skills.
- Familiarity with LLM architectures, training methodologies, reinforcement learning techniques and environments, virtualization, sandboxed code execution, Kubernetes, distributed systems, or high-performance computing is preferred.
- Experience with Rust or C++ is preferred.
- Formal certifications, academic research experience, and publication history are not required.
- A bachelor's degree or equivalent combination of education, training, and/or experience in a relevant field is required.
Benefits
- Annual compensation range of $500,000–$850,000 USD.
- Hybrid policy requiring staff to work from an office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship may be available, with immigration-lawyer support.
- Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office collaboration space.
Tech Stack
Categories
AI ResearchML Engineering
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.