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Research Recruiting Sourcer

Research Recruiting Sourcer

Menlo VenturesSan Francisco, California, US
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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.

Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.

About the role

Anthropic is looking for tenured, talented Sourcers to partner with our recruiters and the business in hiring for our technical 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 passionate sourcers and talent advisors who can help us build world-class teams dedicated to creating safe and beneficial AI systems.

Responsibilities :

  • Develop and execute strategic sourcing plans to identify and source highly qualified candidates at volume
  • Partner with technical hiring managers and interviewers to understand hiring needs, team matching, and required skills and qualifications
  • 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
  • Stay up-to-date on sourcing best practices, emerging sourcing techniques, interview innovations, and workplace trends

You may be a good fit if you :

  • Have 5+ years of experience (including in-house) sourcing top technical talent, particularly for product engineering, infrastructure, and / or AI / ML teams
  • Have demonstrated success in filling engineering leadership and / or high-level technical IC positions
  • Are experienced in working on high-volume pipeline / evergreen roles
  • Have proven skill and investment in taking an inclusive, equitable approach to hiring
  • Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy
  • Are experimental and have implemented novel, creative, non-traditional pipeline building strategies in partnership with hiring leaders and recruiters
  • Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities
  • Have a passion for AI's potential to positively impact the world and a realistic assessment of its risks and limitations
  • Strong candidates may also :

  • Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment
  • Deadline to apply :

    None. Applications will be reviewed on a rolling basis.

    The expected salary range for this position is :

    Annual Salary : $170,000 — $230,000 USD

    Logistics

    Education requirements : We require at least a Bachelor\'s degree in a related field or equivalent experience.

    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 syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

    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!

    Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

    #J-18808-Ljbffr

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