Technical Sourcer at Thinking Machines Lab

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Jun, 26

Salary

250000.0

Posted On

12 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Technical Sourcing, Sourcing Strategy, Talent Mapping, High-Volume Outreach, Community Engagement, Networking, Candidate Database Maintenance, Hiring Manager Partnership, LinkedIn Recruiter, GEM, Juicebox, Research, Market Intelligence, GitHub Assessment, Research Paper Assessment

Industry

Description

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. About the Role We are hiring our first technical sourcer to ensure that Thinking Machines has a pipeline of exceptional candidates for technical roles. You will develop a sourcing strategy that meets both challenges: identifying and tracking the best talent, and getting them interested in our company. This role requires nurturing relationships, understanding technical fields, and staying focused on the long game. What You’ll Do Map the talent landscape for researchers and engineers across companies, open-source communities, research labs, and technical ecosystems. Run high-volume outreach through social media and direct channels. Plan events that build our recruiting pipeline: coding competitions, happy hours, dinners, conference presence. Build community engagement via outreach, in-person networking, and referrals. Maintain a candidate database with important context for recruiters, track the performance of our candidate pipeline over the long term. Partner with hiring managers to translate staffing requirements into a sourcing strategy. Help ensure our reputation attracts the world’s best talent to Thinking Machines. Skills and Qualifications Minimum qualifications: 4+ years of technical sourcing experience, ideally at high-growth startups or competitive technical environments. Track record of sourcing for specialized roles where candidates need to be found, not filtered. Proficiency with sourcing tools (LinkedIn Recruiter, GEM, Juicebox, or similar). Strong research, mapping, and market intelligence skills. Ability to assess technical candidate quality from a GitHub profile or research paper Preferred qualifications — we encourage you to apply if you meet some but not all of these: Experience sourcing for roles in ML research, infrastructure, and similar areas in AI. Existing network in AI/ML communities. Experience partnering with senior technical leadership to build out their organization A genuine interest in technology, artificial intelligence, and their potential for positive impact on humanity. Logistics Location: This role is based in San Francisco, California. Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $150,000 - $250,000 USD. Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Responsibilities

The primary responsibility is developing a sourcing strategy to build a pipeline of exceptional candidates for technical roles by identifying, tracking, and engaging top talent across various ecosystems. This involves mapping the talent landscape, running high-volume outreach, planning pipeline-building events, and maintaining candidate relationships.