Recruiter, AI Research

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. 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. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. 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 You may be a good fit if you: - Have 5+ years of experience in full life cycle recruiting supporting technical research teams - Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations - Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies - Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities - Possess strong technical aptitude with the ability to understand and evaluate technical qualifications - Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research - Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy - Have experience partnering with researchers and hiring talent that work on GenAI and LLMs - Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment Strong candidates may also: - Bring a deep interest in AI safety research - Have experience partnering with researchers and hiring talent that work on GenAI and LLMs - Have experience with academic recruitment and research communities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $175,000—$295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, 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. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter

• 5+ years of experience in full life cycle recruiting supporting technical research teams. • Strong technical aptitude with the ability to understand and evaluate technical qualifications. • Experience partnering with researchers and hiring talent that work on GenAI and LLMs. • Track record of scaling and building diverse, high-performing teams in a fast-paced, high-growth startup environment. • Passion for AI's potential and realistic assessment of its risks and limitations. • Ability to develop innovative recruiting ideas and partner with hiring managers open to non-traditional talent strategies. • Excellent organizational skills, attention to detail, and proactive, autonomous work style. • Experience with academic recruitment and research communities is a plus. • Comfortable in fast-paced environments with multiple priorities and evolving requirements. • Experience enhancing recruiting processes, targeting outreach, reducing bias, and strengthening employer brand.

• Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, focusing 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 with inclusive practices, including targeted outreach campaigns, industry connections, and bias mitigation in hiring. • Collaborate with leadership and cross-functional partners to map long-term talent acquisition strategies across technical teams. • Enhance Anthropic's employer brand within the research and science community to showcase mission, culture, and values. • Stay up-to-date on recruiting best practices, sourcing techniques, interview innovations, and workplace trends.