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Founding AI/ML Engineer (m/f/d)

MuRay Tech · Hamburg

8080

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Still listed on the employer's own board · How we score

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  • Open 56 days

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  • Still listed on the employer's own board

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Founding AI/ML Engineer (m/f/d) at MuRay Tech. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Summary

MuRay Tech is a deeptech spinout from DESY, Hamburg. We're hiring a Founding AI/ML Engineer to build our AI/ML function from the ground up. You'll set the technical strategy for two hard problems: density reconstruction from high-flux muon detector data, and autonomous control of our laser-plasma accelerator. As a founding hire, you'll also build the team, the simulation chain, and the training infrastructure. Broad scope. Direct ownership of a core part of the product.

The role

As Founding AI/ML Engineer, you'll own AI/ML strategy and execution across the company. That spans detector data, accelerator control, and internal tooling.

You will

  • Build the AI/ML team. Hands-on at first. Hire and structure it as scope grows.
  • Set the strategy for density reconstruction from muon detector hit data. Build the simulation chain and training infrastructure to develop and validate the models.
  • Develop autonomous LPA operation and control. Build systems that optimise their own working point.
  • Build AI/ML at MuRay from the ground up, across the company and the product.

What you'll bring

  • A track record of building ML teams. You've grown an ML team from a small base before, at a startup or research lab. You're ready to be hands-on again before the team here exists.
  • Depth in ill-posed inverse problems. Physics or medical imaging reconstruction experience. The judgment to know when classical methods break down and simulation-based, probabilistic methods are the better answer.
  • ML control of real hardware. Hands-on experience with Bayesian optimization, reinforcement learning, or similar methods. Applied to a physical system with a slow or costly feedback loop.
  • End-to-end pipeline experience. You've taken physics simulation output through to a trained, deployed model. You've handled the sim-to-real gap.
  • Physics fluency and pragmatic engineering judgment. Comfort at the ML/physics interface. A bias toward infrastructure that fits a small team, not a hyperscaler.
  • Communication people trust. You translate cleanly between ML, physics, and business audiences. You prioritise validated, defensible results over impressive demos.

How we work

  • Skunkworks approach: We work in small teams with full ownership. We keep it simple, stupid.
  • Move fast: a shiny prototype means we spent too long on it. We build to learn. We polish later.
  • Disagree together, commit together: we debate and challenge, regardless of title. Then we deliver the decision as one team. We win as a team. We pivot as a team.
  • Courage: we always make the call. A mistake isn't a failure: it's proof we're improving. Either way, we own the outcome.
  • Honesty and transparency: we share what's really happening, good or bad. That lets everyone make the right call. We stay open. We stay honest.

What we offer

  • Impact: you'll shape MuRay's technical direction. You'll help build the next generation of non-destructive testing methods.
  • Autonomy: this is a founding role. You build the team, infrastructure, and tooling from the ground up.
  • Network: development and business collaborators include DESY, German Space Agency (DLR), Siemens Energy, Marvel Fusion, Caelora.
  • Infrastructure: you have access to LUMI. You also have access to an H200 GPU cluster in Hamburg.
  • Ownership: an equity plan gives you a meaningful stake in the company.
  • Compensation: a salary that reflects your contribution to MuRay's growth.
  • Relocation: we support your move. If you're relocating from outside the EU, we help with the paperwork.

Contact

For any additional questions, feel free to reach out to talents@muray.tech or apply directly through our application form!

We are looking forward to hearing from you.

Skills

  • machine learning
  • deep learning
  • head of ai
  • head of machine learning
  • lead machine learning engineer
  • principal ml engineer
  • il-posed inverse problems
  • simulation-based inference
  • probabilistic modelling
  • Bayesian optimization
  • reinforcement learning
  • physics-informed machine learning
  • uncertainty quantification
  • sim-to-real
  • PyTorch
  • training infrastructure
  • GPU cluster
  • MLOps
  • image reconstruction
  • muon imaging
  • muon tomography
  • laser-plasma accelerator
  • accelerator control
  • comuptational imaging
  • scientific machine learning
  • AI for science
  • computational physics
  • non-destructive testing
  • founding

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