# Staff+ Software Engineer, Account Abuse (Machine Learning) at Anthropic

- Company: Anthropic
- What the company does: Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. Backed by Accel, Bessemer and General Catalyst.
- Company website: https://www.anthropic.com/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco, CA | New York City, NY
- Work setup: On-site
- Posted: 2026-09-28
- Apply by: 2026-11-12
- Apply: https://job-boards.greenhouse.io/anthropic/jobs/5436293008?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/anthropic-staff-software-engineer-account-abuse-machine-learning/

## About the role

The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Proficiency in Python and SQL
- Experience training machine learning models and deploying them to production
- Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow)
- Working understanding of point-in-time correctness and training / serving skew, and how to prevent both
- Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders

Tags: Safeguards (Trust & Safety)

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/anthropic-staff-software-engineer-account-abuse-machine-learning/