Full-Time

Recruiter – AI Research

Posted on 3/27/2025

Anthropic

Anthropic

5,001-10,000 employees

Develops reliable, interpretable AI systems

Compensation Overview

$170k - $295k/yr

H1B Sponsorship Available

San Francisco, CA, USA

Hybrid

Hybrid role requiring in-office presence at least 25% of the time.

Category
People & HR (1)
Requirements
  • Have 5+ years of experience in full life cycle recruiting supporting technical research teams
  • Bachelor's degree in a related field or equivalent experience
  • Strong technical aptitude with the ability to understand and evaluate technical qualifications
  • Experience partnering with researchers and hiring talent that work on Generative Artificial Intelligence and Large Language Models
  • Excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy
Responsibilities
  • Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent
  • Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications
  • Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process
  • Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams
  • Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates
  • Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends
Desired Qualifications
  • Experience with academic recruitment and research communities
  • Bring a deep interest in AI safety research
  • Proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment
  • Experience with non-traditional talent strategies or creative recruiting ideas
  • Passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations

Anthropic focuses on AI research to build reliable, interpretable, and steerable AI systems. Its main product, Claude, is an AI assistant designed to handle tasks at any scale for clients across industries, delivered through deployment and licensing along with specialized AI R&D services. Claude works by combining natural language processing, human feedback, reinforcement learning, and interpretability techniques to produce a capable, controllable AI assistant that can assist with a wide range of tasks. The company differentiates itself from competitors by prioritizing safety, transparency, and controllability—emphasizing reliability, interpretability of model behavior, and user-controlled steerability in its AI systems. Anthropic’s goal is to make AI systems that people can trust and efficiently use to improve operations and decision-making across sectors.

Company Size

5,001-10,000

Company Stage

Late Stage VC

Total Funding

$77.3B

Headquarters

San Francisco, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Anthropic signed $1.8B seven-year cloud deal with Akamai in 2026.
  • Anthropic accesses 220,000 Nvidia GPUs via SpaceX Colossus lease.
  • Anthropic fields $1tn valuation offers amid $40B annualized revenue.

What critics are saying

  • Litigation erupts in 3-6 months from voiding Forge and Hiive trades.
  • SpaceX reclaims GPUs in 12-24 months if Claude harms humanity.
  • South Korea and Singapore regulators ban Claude in 6-12 months.

What makes Anthropic unique

  • Anthropic pioneered constitutional AI to train Claude models on ethical principles.
  • Anthropic operates as public benefit corporation prioritizing AI safety and reliability.
  • Anthropic founded in 2021 by ex-OpenAI leaders Dario and Daniela Amodei.

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Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-3%

2 year growth

1%
Ars Technica
Apr 21st, 2026
Mozilla: Anthropic's Mythos AI model finds 271 zero-day bugs in Firefox 150

Mozilla has discovered 271 security vulnerabilities in Firefox 150 using early access to Anthropic's Mythos Preview AI model. The findings represent a significant increase from the 22 bugs detected by Anthropic's Opus 4.6 model in Firefox 148 last month. Firefox CTO Bobby Holley said Mythos is "every bit as capable" as the world's best security researchers, whilst eliminating the need to "concentrate many months of costly human effort to find a single bug". He believes AI tools like Mythos tilt the cybersecurity balance towards defenders by making vulnerability discovery cheaper. Anthropic released Mythos Preview to a limited group of industry partners earlier this month. Mozilla CTO Raffi Krikorian argues such tools are particularly crucial for open source projects, which often rely on insufficient volunteer maintenance for security.

Bloomberg L.P.
Apr 21st, 2026
Anthropic's Mythos AI sparks fear and hope over cybersecurity threats to global finance

Anthropic's new AI model Mythos has sparked concern amongst policymakers at International Monetary Fund meetings over its potential to accelerate sophisticated cyberattacks on the global financial system. However, its developers argue the technology could provide banks with their strongest defence yet. What distinguishes Mythos is its ability to chain multiple security weaknesses into coordinated attacks, effectively automating complex cyber intrusions. This capability could significantly expand the pool of potential attackers in the near term. The model's creators emphasise a longer-term benefit: the same technology could enable banks to detect and patch vulnerabilities faster than ever, potentially shifting the balance towards defenders if widely adopted. The dual-use nature of Mythos has created both panic and optimism in boardrooms and governments regarding global financial system security.

Bloomberg L.P.
Apr 17th, 2026
Indian fintechs push Anthropic for early access to 'dangerous' Mythos AI model

Indian fintech companies including One97 Communications, Razorpay Software and Pine Labs are pushing Anthropic for early access to Mythos, the AI model that has raised global concerns about cyberattack risks. The firms want to test Mythos on their own systems to detect vulnerabilities following Anthropic's announcement of a limited rollout. The San Francisco-based AI developer considers the model too dangerous for wider release but major Indian financial technology companies are seeking early access to assess potential security threats to their platforms.

Bloomberg L.P.
Apr 16th, 2026
US government prepares to give federal agencies access to Anthropic's Mythos AI model

The US government is preparing to provide major federal agencies with access to Anthropic's new AI model, Mythos, according to a memo reviewed by Bloomberg News. Gregory Barbaccia, federal chief information officer at the White House Office of Management and Budget, informed Cabinet department officials on Tuesday that OMB is establishing protections to enable agencies to use the closely guarded AI tool. The move comes amid concerns that the powerful model could significantly increase cybersecurity risks. OMB is working to set up appropriate safeguards before rolling out access to the system across government departments.

Bloomberg L.P.
Apr 16th, 2026
Anthropic's Mythos AI model raises cybersecurity alarms for banks and governments

Anthropic's new Mythos AI model is causing concern among banks, tech giants and governments over its potential implications for cybersecurity and the internet's future. The model has prompted a scramble amongst major institutions to understand its capabilities and risks. Details about the specific features raising alarms were not disclosed in the source material.

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