# Recruiter (Research) at Whitecircle

- Company: Whitecircle (whitecircle.com)
- Location: NY (remote)
- Places: NY, Remote
- Posted: 2026-08-10
- Apply: https://jobs.ashbyhq.com/whitecircle/ac4e2904-67b6-46d1-9426-34c2a3faa61c
- Page: https://ye.saranatour.dev/jobs/recruiter-research-whitecircle-kn773109gr9d134sxpsceb5rk98hdg93

## The posting

Recruiter (Research)
Whitecircle · NY

**TL;DR:** We’re looking for an AI Research Recruiter who knows where exceptional AI Researchers and engineers can be found. You’ll own full-cycle hiring across research, machine learning, data, evaluations, and ML infrastructure, helping us build one of the strongest teams in AI safety.

# **About us**

[White Circle](https://whitecircle.ai) is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.

- We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
- We process over one hundred million API calls every month
- We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model

We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.

# **You will**

- Own full-cycle recruitment for ML/AI Research, Multimodal ML Engineer, Research Scientist (AI Behaviours,Evals, Agentic Systems), and ML Infra roles
- Develop a deep understanding of White Circle’s research agenda, technical challenges, and the profiles required to solve them
- Source talent from AI labs, research organisations, technical startups, universities, open-source communities, and relevant scientific networks
- Understand the differences between Research Scientists, Research Engineers, Applied ML Engineers, and ML infra Engineers & assess candidates accordingly
- Evaluate candidates’ actual contributions
- Engage researchers and engineers who are not actively looking for a new role and communicate why White Circle’s problems are technically meaningful
- Design structured hiring processes that assess research depth, engineering ability, originality, and real-world impact
- Deliver an exceptional candidate experience, including for candidates navigating multiple highly competitive opportunities
- Track recruiting performance and continuously improve sourcing strategies, processes, tools, and workflows
- Support hiring outside your primary stream when business priorities require it

# **You’ll fit right in if you**

- Have 2+ years of full-cycle recruiting experience, including significant experience hiring Research and ML talent
- Have personally hired for several roles comparable to Research Scientist, Research Engineer, ML Research Engineer, Applied Scientist, Multimodal ML Engineer, or ML Infrastructure Engineer
- Understand what these roles do and how their responsibilities, technical depth, and candidate pools differ
- Can confidently discuss LLM training and fine-tuning, inference, evaluations, data pipelines, model behaviour, multimodal learning, agent systems, and ML infra
- Can interpret technical profiles beyond keywords, job titles, or company names
- Know how to assess the significance of a candidate’s publications, open-source work, models, datasets, experiments, and production systems
- Understand where exceptional AI research talent can be found and how to reach candidates who are not visible through conventional sourcing channels
- Partic