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Jobs at Thinking Machines Lab

54 open roles read nightly from companies’ own hiring pages. Each one links to the original ad.

41–54 of 54 jobs

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  • Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-time$400K – $500K a yearEngineering

    We’re looking for an infrastructure research engineer to design, optimize, and scale the systems that power large AI models. Your work will make inference faster, more cost-effective, more reliable, and more reproducible to enable our teams to focus on advancing model…

  • Thinking Machines Lab · San Francisco, California, United States +1

    On-siteFull-time$300K – $400K a yearEngineering

    We’re looking for generalist infrastructure and systems engineers to help build the systems that power our foundation models and the internal teams on research and product development to be able to create the models and ship the products powered by our models.

  • Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-timeManager$450K – $500K a yearEngineering

    We're hiring an Engineering Manager to lead a team of senior and staff-level engineers across ML infrastructure and product. You will help the team build and scale systems that are reliable, performant, and easy to operate.

  • Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-time$350K – $475K a yearData & AI

    The role of pre-training researchers sits at the core of our roadmap. This work blends research with large-scale data engineering to help assemble the pre-training datasets and data systems that underpin the next generation of AI models. You’ll design and implement methods for…

  • Technical Sourcer

    3 months ago

    Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-timeMid level$200K – $275K a yearPeople & HR

    We're hiring a Recruiting Sourcer to build the pipeline of exceptional research and engineering talent that will define the next generation of AI. You'll partner closely with recruiters, hiring managers, and our technical leaders to identify, engage, and build relationships…

  • Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-time$400K – $500K a yearScience & research

    Thinking Machines builds multimodal-first. For us, there is no separate multimodal work. It’s at the core of everything we do, from the scientific goals we’re setting to the infrastructure we’re building. We’re looking for researchers to advance the frontier of audio…

  • Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-time$400K – $500K a yearEngineering

    We’re looking for an infrastructure research engineer to design and build the core systems that enable efficient large-scale model training with a focus on numerics. You will focus on improving the numerical foundations of our distributed training stack, from precision formats…

  • Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-time$350K – $475K a yearScience & research

    Thinking Machines builds multimodal-first. We’re looking for new team members to advance the science of visual perception and multimodal learning. We think about how vision and language interact at scale. We design architectures that fuse pixels and text, build datasets and…

  • Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-time$350K – $400K a yearProduct

    As Product Manager for Deployment, you will own how Thinking Machines' models and fine-tuned checkpoints go from training into production use. You will shape the path from a trained model to a served, reliable, cost-effective endpoint — covering inference infrastructure,…

  • Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-time$350K – $475K a yearEngineering

    We’re looking for an engineer to design, build, and operate the GPU supercomputing environment that powers large‑scale training and inference. You will deliver high‑performant, reliable, and cost‑efficient compute so our users and researchers can move fast at scale.

  • Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-time$400K – $500K a yearEngineering

    We’re looking for an infrastructure research engineer to design, optimize, and maintain the compute foundations that power large-scale language model training. You will develop high-performance ML kernels (e.g., CUDA, CuTe, Triton), enable efficient low-precision arithmetic,…

  • Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-time$400K – $500K a yearEngineering

    Frontier model training depends on systems that can keep large accelerator clusters working efficiently and reliably through runs lasting days or weeks. We’re looking for engineers to build and improve those systems, working closely with researchers on the infrastructure behind…

  • Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-time$350K – $475K a yearEngineering

    We're hiring an engineer to ensure the reliability of our GPU supercomputing fleet, owning the seam between hardware, firmware, and operating system. You will track the long tail of hardware issues: We are conducting frontier research in AI and a single bad NIC, HBM or a kernel…

  • Thinking Machines Lab · San Francisco, California, United States

    On-siteFull-time$350K – $475K a yearIT

    We're looking for a network engineer to own the lowest layers of the network stack that our large-scale training and inference depend on. A single degraded link or flapping NIC can quietly slow a long training run or take it down outright; you'll be responsible for interconnect…

Updated 06 Nov 2026 09:37 UTC from the OptiTalent job library.