Sourcer, Machine Learning

Jane Street•New York, NY

About The Position

We are looking for a Recruiting Sourcer to help us find high-caliber candidates for machine learning roles across our offices worldwide. You'll be supporting our efforts to build world-class ML teams that work on challenging problems at the intersection of finance, technology, and quantitative research. We are looking for someone who is energized by the idea that amazing talent and good ideas can come from anywhere. The right candidate will be curious, creative, and persistent, with the discipline to put quality over quantity in all searches. We are looking for someone with a true passion for sourcing, who loves thinking deeply about niche candidate pools in the ML space—and then investigating all corners of the internet to find the best possible people for the job. On any given day, you will be: Strategizing different ways to produce talent pipelines for ML roles, having the intuition and creativity to look where no one else is looking—from academic research labs and top-tier ML conferences, to niche research communities and specialized forums Developing tailored sourcing strategies and putting them into action, including candidate outreach and engagement Working with recruiters and researchers to deeply understand requirements for ML positions, including specific technical expertise, research backgrounds, publication records, and contributions to the broader ML community Providing helpful and relevant market intelligence and competitor analysis on the ML talent landscape, including emerging research areas and shifting talent pools People and relationships drive our hiring approach. Our entire operation is fully integrated, with sourcers, hiring managers, and recruiters collaborating in true partnership to achieve shared goals. There are no silos here—we work hard and trust each other, and you will be embedded in the center of it all. Hiring the right people is one of the most important parts of our business, and our forward-thinking approach to finding talent has helped Jane Street become an industry leader. We're looking for someone with the experience and dedication to help us maintain that tradition.

Requirements

Have 5+ years of in-house sourcing experience, with a proven track record of identifying and engaging ML talent
Have an understanding of the ML landscape, including key research areas, top academic programs, leading research labs (both academic and industry), and important conferences and communities
Deeply experienced with managing a pipeline of candidates, and collaborating with hiring managers and recruiters to kick off novel searches from scratch
Highly organized with excellent attention to detail; have a no-job-too-small attitude
Have an entrepreneurial spirit and can prioritize tasks to turn ideas into action
Humble about what you know and don't know; unafraid to ask questions and admit mistakes
Discreet and thoughtful about internal and external communication
Strong team player who can work effectively within and across various teams, and independently as appropriate
Able to travel to recruiting conferences and events as needed

Responsibilities

Strategizing different ways to produce talent pipelines for ML roles, having the intuition and creativity to look where no one else is looking—from academic research labs and top-tier ML conferences, to niche research communities and specialized forums
Developing tailored sourcing strategies and putting them into action, including candidate outreach and engagement
Working with recruiters and researchers to deeply understand requirements for ML positions, including specific technical expertise, research backgrounds, publication records, and contributions to the broader ML community
Providing helpful and relevant market intelligence and competitor analysis on the ML talent landscape, including emerging research areas and shifting talent pools

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