Research Engineer, Sequential Intelligence

Lausanne, Switzerland
KalyrFull-timeResearch

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The company

Embreier builds Kalyr, adaptive intelligence for consequential work. Kalyr compares the moves a team could make, seals its prediction before anyone acts, and scores it against what actually happened. Every scored outcome sharpens the next decision. We start where a process repeats and every run returns a result, and we are building toward intelligence that learns from reality wherever consequential work is done.

The role

You build the models that predict how a real process responds to each move a team could make, and the evaluation that tells us, plainly, whether they did.

Observation, inference and confidence stay distinct from the first line of code. You decide what to build and, as often, what to leave out. The questions are hard and specific: “How sure should the model be before anyone acts?” or “What would this prediction have said last March, knowing only what we knew then?” The systems you shape become the foundation everything else stands on.

What you will do

  • Predict the next state. Build sequence models that forecast how a process moves under each candidate action, with calibrated ranges.
  • Seal before the world answers. Record every prediction before its outcome exists, in a form anyone can audit later.
  • Evaluations that tell the truth. Chronological, site-held-out and regime-held-out splits, proper scores, calibration, and abstention when evidence is thin.
  • Hunt leakage. Find hindsight leakage before it finds you, and make the harness catch it every time.
  • Run the learning loop. Decide which scored episodes teach the next model, with human approval, clean update and rollback.
  • Code others can enter. Build it so another excellent engineer can enter the codebase without reverse-engineering it from your head.

What you bring

  • Systems that shipped. Production work on sparse, sequential or longitudinal data, owned end to end, in fluent, typed and tested Python.
  • Modelling depth. Probabilistic modelling, time series, state-space or representation learning.
  • Evaluation rigour. You know how a benchmark flatters, and how to stop it.
  • Disciplined curiosity. Real interest in causal and counterfactual questions, held with care.

Who we hire

Original thinkers. People who learn a rule well enough to follow it, then bend it to build something better. You contribute in work others can build on, and you measure yourself by it. You are glad to be known by what you create and by what you give. Proud of the work, humble in the room. The shared result comes first. Accountability here means being the first to say the true thing that needs saying, for the good of the mission we share.

Life at Embreier

Embreier is a Swiss company based in Lausanne. Engineering, research and people who know the work from the inside build in one team, across languages and disciplines. High standards and appreciation live side by side here: the work is demanding, and the people doing it are seen.

Need an adjustment to apply? Write to careers@embreier.com and tell us how we can help.