# Research Engineer / Research Scientist, Tokens

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** New York, NY, Seattle, WA, San Francisco, CA
**Role:** ML Engineering
**Salary:** $350k – $500k/yr
**Skills:** PyTorch, Kubernetes, Gpus, Transformers, Reinforcement Learning, Distributed Training, ETL, Machine Learning Systems
**Posted:** 2026-02-28

> Build and optimize large-scale ML systems for safe, steerable AI, handling infrastructure, experiments, and dev tooling. Requires strong software engineering and interest in ML research.

## Job Description

## You may be a good fit if you:
- Have significant software engineering experience
- Are results-oriented, with a bias towards flexibility and impact
- Pick up slack, even if it goes outside your job description
- Enjoy pair programming
- Want to learn more about machine learning research
- Care about the societal impacts of your work

## Strong candidates may also have experience with:
- High performance, large-scale ML systems
- GPUs, Kubernetes, Pytorch, or OS internals
- Language modeling with transformers
- Reinforcement learning
- Large-scale ETL

## Representative projects:
- Optimizing the throughput of a new attention mechanism
- Comparing the compute efficiency of two Transformer variants
- Making 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

## Compensation
Annual Salary: $350,000 — $500,000 USD

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