Recruiter, AI Research

United States Digital Space LLC

Washington

Hybrid

USD 175,000 - 295,000

Full time

14 days+
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Job summary

United States Digital Space LLC is seeking a talented AI Research Recruiter to partner with our Research teams. You will identify, engage, and hire top minds across AI research disciplines to help build safe and beneficial systems.

In this role you will develop strategic recruiting plans, partner with research hiring managers, enhance inclusive processes, and help scale a world‑class, diverse team at pace.

Qualifications

  • 5+ years in full life cycle recruiting for technical research teams.
  • Experience recruiting for AI/GenAI and related research disciplines.
  • Strong ability to assess technical qualifications and potential in candidates.

Responsibilities

  • Develop and execute strategic recruiting plans to identify, source, and hire AI research talent.
  • Partner with research hiring managers to understand needs and map candidate fit.
  • Enhance recruiting processes to remove biases and improve outreach and inclusion.
  • Collaborate with leadership to scale a diverse, high-performing research team.

Skills

Recruiting
Talent acquisition
Technical sourcing
GenAI recruitment

Education

Bachelor's degree or equivalent

Job description

About the company

the company’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:

the company 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 the company'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


LogisticsMinimum 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.


How we're different

We believe that the highest-impact AI research will be big science. At the company 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 the company, 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!

the company is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, fle

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