# Machine Learning Infrastructure Engineer, Safeguards Research

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $350,000-$500,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5364804008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1ee46a2f-8e4

## Description

Anthropic's Safeguards team builds systems to detect and mitigate misuse of AI models. We're seeking a Machine Learning Infrastructure Engineer to own the infrastructure behind this research, focusing on scaling, reliability, and efficiency.

The ideal candidate will have experience with large-scale machine learning systems, data-intensive applications, and building tooling for researchers. You will:

- Develop and scale infrastructure and data pipelines for Safeguards machine learning research

- Optimize training, evaluation, and scoring workflows for researchers

- Design user-friendly tooling and interfaces for researchers

- Ensure correctness and trustworthiness of results as models evolve

- Collaborate with researchers and engineers to understand workflow needs

Requirements include strong software engineering skills, experience with Python, and building data-intensive systems. Preferred qualifications include experience with high-performance machine learning, language modeling, and transformer internals.

The annual compensation range for this role is $350,000-$500,000 USD.

## Skills

### Required
- Python
- large-scale machine learning systems
- data-intensive applications
- distributed systems

### Nice to have
- high-performance machine learning
- language modeling
- transformer internals
- GPU programming
- inference optimization

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5364804008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)