Research Engineer - Large-Scale ML & Safe AI

Anthropic; New York (NY); Hybrid; USD 350,000 - 500,000; Full time

Job summary

Anthropic seeks a Research Engineer to touch all parts of our code, infrastructure, and research tooling. You’ll help build reliable, scalable ML systems, optimize attention mechanisms, and contribute to production-grade experimentation pipelines.

You will work in a location-based hybrid policy, collaborating with researchers, engineers, and policy experts. A strong software background and interest in safe, steerable AI are essential for this role.

Qualifications

• Bachelor’s degree or equivalent education/experience.
• Field of study relevant to role demonstrated via coursework or experience.
• Experience aligned with internal job level requirements.
• Location-based hybrid policy and visa sponsorship information as applicable.

Responsibilities

• Optimizing the throughput of a new attention mechanism.
• Comparing the compute efficiency of two Transformer variants.
• Creating a Wikipedia dataset in a format models can easily consume.
• Scaling a distributed training job to thousands of GPUs.
• Writing a design doc for fault tolerance strategies.
• Creating an interactive visualization of attention between tokens in a language model.

Skills

Software engineering

Results oriented

Pair programming

ML research interest

Societal impact awareness

Education

Bachelor's degree

Tools

Kubernetes

PyTorch

Transformers

OS internals

Job description

Anthropic seeks a Research Engineer to touch all parts of our code, infrastructure, and research tooling. You’ll help build reliable, scalable ML systems, optimize attention mechanisms, and contribute to production-grade experimentation pipelines.

You will work in a location-based hybrid policy, collaborating with researchers, engineers, and policy experts. A strong software background and interest in safe, steerable AI are essential for this role.