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Jobs at Mirendil

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

1–12 of 12 jobs

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  • Mirendil · San Francisco, California, United States

    On-siteFull-timeLead / staff$150K – $200K a yearOperations

    You'll build and improve the internal systems that keep Mirendil running. As an AI research lab, we work with a highly technical team and want our internal operations to reflect the same approach to problem-solving, automation, and efficiency.

  • Mirendil · San Francisco, California, United States

    On-siteFull-timeLead / staff$300K – $400K a yearEngineering

    We are looking for an engineer to design, implement, and optimize custom ML kernels that bolster our model development stack. Your work will be deep in the system, combining hardware and software insights to optimize performance. Some example areas you might work on (not…

  • Mirendil · San Francisco, California, United States

    On-siteFull-timeLead / staff$250K – $400K a yearOperations

    Every member of technical staff at Mirendil pushes the frontier. Most do it through research and engineering. This role does it by building the company itself.

  • Mirendil · San Francisco, California, United States

    On-siteFull-timeLead / staff$300K – $400K a yearEngineering

    We have a lot of compute, and a lot more work for it. We’re looking for a Systems Engineer who knows how to find bottlenecks and move them somewhere we can live with. Your work determines how much goodput we get out of our compute. Some example areas you might work on:

  • Mirendil · San Francisco, California, United States

    On-siteFull-timeLead / staff$300K – $400K a yearEngineering

    We are looking for an engineer to own the inference systems that power our models in production and research. You'll work across the full inference stack, from serving infrastructure down to hardware-level optimization. Some example areas you might work on (not limited to):

  • Mirendil · San Francisco, California, United States

    On-siteFull-timeLead / staff$300K – $400K a yearEngineering

    We are looking for a research engineer to build the evaluation infrastructure that tells us whether our models are getting better in ways we care about. You'll own the frameworks, pipelines, and tooling that measure model behavior across capabilities. Some example areas you…

  • Mirendil · San Francisco, California, United States

    On-siteFull-timeLead / staff$300K – $400K a yearEngineering

    We are looking for a research engineer to build the data systems and execution environments that power reinforcement learning at Mirendil. The quality of our models depends directly on the quality of the data and environments we train on; you will own those systems end-to-end.…

  • Mirendil · San Francisco, California, United States

    On-siteFull-timeLead / staff$300K – $400K a yearEngineering

    We are looking for engineers to help build the post-training stack for frontier reasoning models. This role sits at the intersection of research and infrastructure. You will work to push the scale of our RL stack, whether it is novel recipe ideas, reliability, or performance.…

  • Mirendil · San Francisco, California, United States

    On-siteFull-timeLead / staff$300K – $400K a yearEngineering

    We are looking for research engineers to help build the post-training stack for frontier reasoning models.

  • Mirendil · San Francisco, California, United States

    On-siteFull-timeLead / staff$300K – $400K a yearEngineering

    We are looking for an engineer to work at the intersection of research and systems on our pretraining stack. You'll contribute across the full pipeline, from data processing and model architecture to distributed training infrastructure and low-level optimization, and help…

  • Mirendil · San Francisco, California, United States

    On-siteFull-timeLead / staff$300K – $400K a yearEngineering

    We are looking for an Infrastructure Engineer to own the compute and cloud foundation that frontier AI research runs on. The systems you build determine how fast we can train models, how reliably experiments run, and how efficiently we scale. Some example areas you might work on:

  • Mirendil · San Francisco, California, United States

    On-siteFull-timeLead / staff$300K – $400K a yearEngineering

    We are looking for an innovative, rigorous Research Engineer to join our team to accelerate AI self-improvement. This role requires a deep understanding of ML at both the application and system levels. You will ship AI-driven systems that recursively improve how AI systems are…

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