Technical Recruiter, Infrastructure

1 мес. назад

USA

full lifecycle recruitingcandidate pipeline buildinginterview process refinement

Full lifecycle recruiting for infrastructure roles in AI systems company .

Обязанности

's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. As Technical Recruiter, Infrastructure, you'll join the small team of recruiters who hire for that organization, owning full lifecycle recruiting for your searches and partnering with infrastructure leaders to turn ambiguous needs into clear search strategies.
Own full lifecycle recruiting for a portfolio of roles across the Infrastructure organization, from intake through offer and close
Run structured intakes with infrastructure hiring managers, translating ambiguous needs into scoped requirements, calibrated bars, and search strategies
Build and maintain pipelines of specialized infrastructure talent, with an emphasis on passive candidates
Refine infrastructure interview loops, take-home assignments, and scorecards alongside hiring managers, your recruiting counterparts, and Recruiting Operations
Develop deep domain knowledge aligned with the teams you support, so you can identify niche talent with the right specific domain fit
Advise hiring managers with market data and candid calibration feedback, and influence decisions through credibility rather than volume
Partner with Compensation, People Partners, and Mobility to structure equitable offers and guide candidates to close
Handle sensitive role and candidate information with discretion, including for searches whose scope is confidential

Требования

Deep full lifecycle recruiting experience, with substantial time supporting infrastructure, platform, or comparably technical engineering organizations
Ability to hold a substantive technical conversation about infrastructure domains such as Kubernetes and container orchestration, cloud networking, cluster networking, and systems languages, and to evaluate technical qualifications rather than match keywords
Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools
Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design
Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers on complex searches
A strong sense of ownership over your work, and the adaptability to adjust as priorities and hiring needs shift
Genuine interest in 's mission and in the role a strong infrastructure function plays in achieving it

Будет плюсом

Experience recruiting at a high-growth technology, AI, or machine learning company
Working knowledge of the infrastructure and platform talent landscape, including where strong large-scale ML training and systems infrastructure talent tends to come from
Experience hiring for hyperscale cluster infrastructure, research and platform infrastructure, privacy infrastructure, or sandboxing and isolation engineering
Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent
Comfort using LLMs to accelerate sourcing, research, and market mapping
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.

Другое

’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.
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 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. Your safety matters to us. To protect yourself from potential scams, remember that recruiters only contact you
We believe that the highest-impact AI research will be big science. At 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 , including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
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. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.