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60 Anthropic Machine Learning Engineer Jobs Hiring Near You

Anthropic

Technical Recruiter, Security

San Francisco, CA · On-site

$240K - $295K/yr

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems ... Experience recruiting at a high-growth technology, AI, or machine learning company * Working ...

Anthropic

Performance Engineer

San Francisco, CA · On-site

Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then ...

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Infographic showing various Machine Learning Engineer job openings at Anthropic in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 92% Physical, and 8% Remote job distribution.
Technical Recruiter, Security

Technical Recruiter, Security

Anthropic

San Francisco, CA

Other

Posted 6 days ago

Job description

About the role

Anthropic's Security organization protects the models, the infrastructure, and the people behind them, spanning platform and application security, detection and response, identity, compliance, corporate engineering and IT, insider risk, and physical security. The adversaries are well resourced, the assets are novel, and the consequences of getting it wrong extend beyond Anthropic.

As Technical Recruiter, Security, you'll join the small team of recruiters who hire for that organization, owning full lifecycle recruiting for your searches and partnering with security leaders to turn ambiguous needs into clear search strategies. Security professionals are among the most heavily recruited people in technology, and earning their attention takes real domain fluency rather than a template.

Key responsibilities

  • Own full lifecycle recruiting for a portfolio of roles across the Security organization, from intake through offer and close

  • Run structured intakes with security hiring managers, translating ambiguous needs into scoped requirements, calibrated bars, and search strategies

  • Build and maintain pipelines of specialized security talent, with an emphasis on passive candidates

  • Refine security interview loops, take-home assignments, and scorecards alongside hiring managers, your recruiting counterparts, and Recruiting Operations

  • Develop genuine domain fluency so you can hold a credible conversation with a detection engineer, a cryptographer, and a compliance lead in the same week

  • Advise hiring managers with market data and candid calibration feedback, and influence decisions through credibility rather than volume

  • Partner with Compensation, People Partners, and Mobility to structure equitable offers and guide candidates to close

  • Handle sensitive role and candidate information with discretion, including for searches whose scope is confidential

Minimum qualifications

  • Deep full lifecycle recruiting experience, with substantial time supporting security, infrastructure, or comparably technical engineering organizations

  • Ability to hold a substantive technical conversation about security domains such as application security, cloud and infrastructure security, detection and response, identity, or compliance, and to evaluate technical qualifications rather than match keywords

  • Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools

  • Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design

  • Sound independent judgment on candidate quality, and the ability to redirect a hiring manager away from pedigree and credential proxies toward the underlying competencies

  • Genuine interest in Anthropic's mission and in the role a strong security function plays in achieving it

Preferred qualifications

  • Experience recruiting at a high-growth technology, AI, or machine learning company

  • Working knowledge of the security credential landscape and clear judgment about where those credentials carry signal and where they do not

  • Experience hiring for engineering, incident response, threat intelligence, insider risk, or physical security

  • Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent

  • Comfort using LLMs to accelerate sourcing, research, and market mapping

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