Technical Sourcer – Physical Sciences
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Job Description
Technical Sourcer engaging exceptional talent across AI/ML and physical sciences for Periodic Labs. Building candidate pipelines to match ambitious company goals from a diverse set of candidates.
Responsibilities:
- Own full-cycle sourcing across technical roles spanning AI/ML research, software infrastructure, and physical sciences (materials, chemistry, physics, lab engineering)
- Build and manage diverse, high-quality talent pipelines using LinkedIn Recruiter, GitHub, Google Scholar, academic databases, conference publications, and domain-specific communities
- Craft compelling, personalized outreach that resonates with highly specialized candidates who aren’t actively looking — and convert them into engaged prospects
- Partner closely with hiring managers and researchers to deeply understand role requirements, ideal profiles, and the nuances that separate a great candidate from a good one
- Develop and maintain sourcing strategies for hard-to-fill roles, including niche scientific disciplines and emerging fields at the intersection of AI and physical science
- Track pipeline health and sourcing metrics in Ashby (our ATS), including outreach response rates, conversion rates, and time-to-pipeline, and surface insights proactively
- Continuously research the competitive landscape — knowing where top talent works, studies, and publishes, and staying ahead of hiring trends in both AI and deep tech
- Attend conferences, research symposia, and recruiting events to build Periodic Labs’ presence and network in key talent communities
- Collaborate with the recruiting coordinator and Head of Recruiting to ensure sourced candidates have a seamless handoff and excellent early experience
- Contribute to employer branding efforts by helping articulate what makes Periodic Labs unique to candidates across scientific and engineering disciplines
Requirements:
- 5+ years of sourcing or recruiting experience, with a focus on technical roles in software, AI/ML, or deep tech
- A proven track record of building pipelines for hard-to-fill, highly specialized roles — including research scientists, engineers, or other niche technical profiles
- Deep familiarity with sourcing tools and platforms: LinkedIn Recruiter, GitHub, Google Scholar, Semantic Scholar, ResearchGate, and Boolean search strategies
- Comfort reading and evaluating technical profiles across domains you may not have formal training in — you’re curious enough to learn the difference between an ML researcher and an MLOps engineer, or between a materials scientist and a chemical engineer
- Strong written communication skills and a talent for crafting outreach that feels personal, specific, and worth responding to
- Experience working with an ATS (Ashby, Greenhouse, Lever, or similar) and a track record of maintaining clean data and pipeline hygiene
- High agency and comfort with ambiguity — you can build sourcing strategies from scratch when no playbook exists
- Genuine curiosity about science and technology, even if you’re not a scientist yourself.
Benefits:
- Visa sponsorship available and legal support
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