# 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_e18f4957-565

## 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.

Key responsibilities:

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

- Own training, evaluation, and scoring workflows, optimizing the time between idea and result

- Design tooling and interfaces for researchers to use directly

- Implement correctness and sanity checking to ensure trustworthy results

- Transition high-value research workflows from experiments to production-grade jobs

- Improve throughput, cost, and reliability of large-scale inference and scoring workloads

- Collaborate with researchers and engineers to understand and anticipate workflow needs

Requirements:

- Strong software engineering fundamentals and hands-on coding ability in Python

- Experience with data-intensive or distributed systems in production

- Experience building tooling or infrastructure for engineers or researchers

- Comfort working across the research-to-deployment pipeline

- Ability to debug performance and correctness problems

- Strong written and verbal communication skills

Preferred qualifications:

- Experience with high-performance, large-scale machine learning systems

- Familiarity with language modeling and transformers

- Experience with machine learning framework internals, GPU programming, or inference optimization

- Experience building experiment tracking, caching layers, or evaluation harnesses

- Interest in AI system misuse risks and mitigation

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

## Skills

### Required
- Python
- distributed systems
- data-intensive systems
- software engineering

### Nice to have
- large-scale machine learning systems
- language modeling
- transformers
- 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)