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Thinking Machines Lab

Executive Business Partner

3 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
200K-250K Annually
Mid level
200K-250K Annually
Mid level
Artificial Intelligence • Information Technology
The Executive Business Partner will manage calendars, coordinate travel, support recruiting, and track projects for technical leaders in a fast-paced startup environment.
Thinking Machines Lab Logo
Thinking Machines Lab

Recruiting Coordination and Operations Specialist

4 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
120K-200K Annually
Junior
120K-200K Annually
Junior
Artificial Intelligence • Information Technology
The Recruiting Coordinator will manage scheduling, maintain data integrity in recruiting tools, and support various recruiting operations while ensuring a positive candidate experience.
Top Skills: GoodtimeGoogle WorkspaceGreenhouseModernloopSlackWorkday
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Thinking Machines Lab

Technical Sourcer

10 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
150K-250K Annually
Mid level
150K-250K Annually
Mid level
Artificial Intelligence • Information Technology
The Technical Sourcer will identify and engage exceptional technical candidates, develop sourcing strategies, and build community engagement for recruitment efforts.
Top Skills: GemJuiceboxLinkedin Recruiter
Thinking Machines Lab Logo
Thinking Machines Lab

Research Product Manager

Reposted 11 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
175K-475K Annually
Mid level
175K-475K Annually
Mid level
Artificial Intelligence • Information Technology
As a Research Product Manager, drive complex research products, translate technical ideas into plans, collaborate across disciplines, and maintain progress communication.
Top Skills: Artificial IntelligenceComputer ScienceMachine Learning
Thinking Machines Lab Logo
Thinking Machines Lab

Research Engineer, Infrastructure, Inference

Reposted 13 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
350K-475K Annually
Mid level
350K-475K Annually
Mid level
Artificial Intelligence • Information Technology
The Research Engineer will design, optimize, and scale systems for large AI models, enhancing performance, reliability, and efficiency in model inference and deployment.
Top Skills: JaxKubernetesPyTorchRaySglangSlurmVllm
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Thinking Machines Lab Logo
Thinking Machines Lab

Software Engineer, Frontend

Reposted 13 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
350K-475K Annually
Junior
350K-475K Annually
Junior
Artificial Intelligence • Information Technology
The role requires prototyping and launching new products, maintaining existing UIs, building internal tools, evolving frontend infrastructure, and improving developer experience.
Top Skills: Node.jsPythonReactReact RouterRustTurborepoTypescriptVite
Thinking Machines Lab Logo
Thinking Machines Lab

Research Engineer, Infrastructure, Numerics

Reposted 13 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
350K-475K Annually
Entry level
350K-475K Annually
Entry level
Artificial Intelligence • Information Technology
Design and optimize large-scale distributed training infrastructure, focusing on numerical methods to enhance efficiency and stability in AI model training.
Top Skills: DeepspeedJaxMegatron-LmPyTorch
Thinking Machines Lab Logo
Thinking Machines Lab

Research Engineer, Infrastructure, Training Systems

Reposted 13 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
350K-475K Annually
Mid level
350K-475K Annually
Mid level
Artificial Intelligence • Information Technology
The role involves designing and optimizing distributed training systems for large models to enhance research efficiency and productivity in AI.
Top Skills: Distributed Training SystemsGpu OptimizationJaxPythonPyTorch
Thinking Machines Lab Logo
Thinking Machines Lab

Software Engineer, Full Stack

Reposted 13 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
350K-475K Annually
Mid level
350K-475K Annually
Mid level
Artificial Intelligence • Information Technology
Develop and maintain full stack applications focusing on APIs, UX, system reliability, security, and collaboration across teams.
Top Skills: PythonReactRustTypescript
Thinking Machines Lab Logo
Thinking Machines Lab

Software Engineer, Supercomputing

Reposted 13 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
350K-475K Annually
Mid level
350K-475K Annually
Mid level
Artificial Intelligence • Information Technology
Design, build, and operate GPU supercomputing environments, automate large GPU clusters, and collaborate with researchers to optimize performance and resources.
Top Skills: CudaJaxKubernetesNcclPythonPyTorchRustSlurmTensorFlow
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