Software Engineer, Research Acceleration
Thinking Machines Lab
About this role
A Research Infrastructure Engineer at Thinking Machines Lab focused on enabling and accelerating ML research by providing scalable internal infrastructure and tooling. The role supports research teams across the organization to improve reproducibility, experiment tracking, and evaluation capabilities. The position is based in San Francisco or New York.
Skills
Qualifications
About Thinking Machines Lab
thinkingmachines.aiThinking Machines Lab is an artificial intelligence research and product company focused on making advanced AI systems more widely understood, customizable, and generally capable. They aim to close gaps between rapidly advancing capabilities and the scientific/public understanding of how these systems are trained and used. Through research, public-facing writing (the Connectionism blog), and products such as their recently introduced Tinker, they build tools and knowledge to help people and organizations tailor AI to their needs and values.
Recent company news
NVIDIA BlogNVIDIA and Thinking Machines Lab Announce Long-Term Gigawatt-Scale Strategic Partnership
2 days ago
CNBCNvidia makes 'significant investment' in Mira Murati's Thinking Machines Lab
3 days ago
AxiosNvidia backs Thinking Machines with compute and capital
3 days ago
Bloomberg.comNvidia to Invest in Thinking Machines Lab and Supply AI Chips
3 days ago
WSJNvidia Invests in Mira Murati’s Thinking Machines Lab
2 days ago
About Thinking Machines Lab
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
Unlock Company Insights
View leadership team, funding history,
and employee contacts for Thinking Machines Lab.
Salary
$350k – $475k
per year