Thinking Machines Lab

HR Business Partner

San Francisco, California

H1B sponsorship available$190k-$300kDetected 78 days ago

Machine LearningPyTorchLogisticsEmployment LawResearchLeadershipMentoring

About the role

Coach managers by observing how they lead, identifying strengths and blind spots, and working on continuous improvement.
Build feedback and evaluation processes that help people improve, not just get measured.
5+ years experience working as a people leader or HR business partner in a high-growth technical environment.
Proven track record of developing HR practices and supporting a diverse set of talent.
You will provide strategic support on researcher and engineer performance, team dynamics, and personal growth.
The new role of HR Business Partner will combine two tasks: leadership coaching, and people systems design.
leadership coaching, and people systems design.
You will also build the people infrastructure that will scale this support as the company grows: performance and feedback systems, compensation structures, and career frameworks.

We encourage you to apply even if you don't meet all preferred qualifications.
Experience in setting up novel systems that scale in a fast-growing company.
Track record of supporting a high trust and low ego environment for high caliber talent with strong retention and growth.
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.
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.

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence.
HR Business Partner

Depending on background, skills and experience, the expected annual salary range for this position is $190,000 - $300,000 USD.

Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
Design compensation structures that let us compete for the best machine learning talent in the world while staying aligned on values and principles.

Create career/leveling frameworks that work for a research lab where career advancement often doesn't mean managing people, contributions such as mentorship and taste are harder to measure, and where senior researchers expect to grow and learn even after a decade in the role.

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.
We sponsor visas.

This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.