CS / AI Fellowship, Learning from consequence

The company

Embreier builds Kalyr, the consequence record for enterprise AI. For every recurring decision in an operation, human or AI, Kalyr seals the forecast before action, records what was permitted and done, and settles the outcome after it in the company’s own economics. Platforms run the work; Kalyr proves what it earned, and learns from it. We are building intelligence that learns from reality wherever consequential work is done.

The role

For exceptional early-career researchers and builders who move from first principles to working evidence.

You take one open question at the heart of learning from consequence and push it until it yields a result we can stand on, or an honest reason it cannot. Questions like “What transfers from one site to the next?” or “When should a model say it needs more evidence?” You work beside the engineers shipping Kalyr, so a result that holds lands in the product.

What you will do

• Choose a question. From sequential intelligence, representation, causal and counterfactual learning, continual learning, or provenance and permission.
• Write down what would change your mind. Before the study runs, so the result means something.
• Build the smallest thing that answers it. On real episodes, with the simplest method that could work.
• Write it up to be checked. Clearly enough that someone outside the company could test it.

What you bring

• Foundations. Strong computer science, machine learning, statistics or a related field, from final-year student to early career.
• Work we can inspect. Code, a paper or a project you are proud of.
• A question you care about. More than the answer you hope for.
• Nerve. Comfort being wrong early, cheaply and in front of others.

This is for you if

• You want to work on questions no one has answered yet, and see the answer land in a real system.
• Long, intense stretches of thinking and building give you energy, and you stay rigorous deep into them.
• You would rather publish one finding that holds than ten that flatter.

To apply

The application asks two questions in place of a cover letter. What is the hardest system you have personally built, what broke, and what would you change? And: Which assumption in Kalyr would you try to break first, and how would you test it? A strong answer is a test you could run, not an opinion. We read the answers before the CV.

Who we hire

Original thinkers who master the method, then bend it to find something better. Your result changes what we build. You would like your name on a finding that holds. Ambitious for the question, humble about your part in answering it. You are first to say when the evidence points the other way, because the goal is shared.

Life at Embreier

Embreier is a Swiss company based in Lausanne. Engineering, research and people who know operations 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.