Recruiter, AI Research

About the Role

Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines.

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

Requirements

• 5+ years of experience in full life cycle recruiting supporting technical research teams
• A passion for AI's potential to positively impact the world and a realistic assessment of its risks and limitations
• Experimental and open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies
• Thriving in fast-paced, dynamic environments and enjoying juggling multiple priorities
• Strong technical aptitude with the ability to understand and evaluate technical qualifications
• Enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research
• Excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy
• Experience partnering with researchers and hiring talent that work on GenAI and LLMs
• A proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment

Qualifications

• A deep interest in AI safety research
• Experience partnering with researchers and hiring talent that work on GenAI and LLMs
• Experience with academic recruitment and research communities

Skills

• Strategic planning and execution
• Effective communication and collaboration
• Outreach and networking
• Process improvement and optimization
• Technical evaluation and assessment
• Team building and management

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space for collaboration

Pay

The annual compensation range for this role is $175,000—$295,000 USD.

Schedule

We currently expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Location-based Hybrid Policy

We expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa Sponsorship

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us!