SAEKI - Autonomous factories for the free worldSAEKI builds autonomous factories for the free world. Born in Switzerland and scaling from our factory in Munich, we deliver the most demanding mission-critical parts at a speed and volume traditional suppliers cannot match. Our software learns from every part we make and carries that knowledge into every machine and every factory we add. We are building the industrial base that ensures the free world outbuilds any rival. We build factories that learn. We sell tangible parts, not software: every part we make produces data on design, cost, process and quality. Our bet is that a factory which learns from that data makes each next part faster, better and with fewer people, and that what one factory learns, every new factory applies.The RoleYou own the learn and apply steps of our knowledge loop: you say what data the key bet needs and turn it into decisions that engineers and operators use every week. Concretely, you will:Identify the key bet: the decision in our factory, from quoting to quality, where learning from data pays off mostDefine, with our software engineers, what data we capture from day oneBuild the first learning-factory MVP yourself and put it in front of engineers and operators within weeksDecide what to build, what to buy and when a model is good enough to trustShow the company and our investors, with numbers, that the factory is learningGrow into the AI Lead role once your MVPs are provenWhat We're Looking ForSeveral years shipping ML or LLM systems that real users depended onStack: Strong Python, SQL and data engineering; comfortable from raw data to deployed toolExperience starting from zero data: you have designed what to capture and then built a tool on itPragmatism: you use whatever method works, from a rule to an agent, judged by what helps the operator in front of youCuriosity for the physical world: you want to stand next to the machine and understand the operator's decisionClear writing and the ability to explain results and their limitsBonus: manufacturing, additive, CNC, CAD or geometry data; early-stage startup experienceLanguage: English. German is a plus for shop-floor conversations.On-site: Ability to work in person at Zurich, Switzerland, with regular time on the shop floor at Factory ONE in Munich, Germany.What we're not looking forResearchers without a user: every model you build here has a factory user, or it is droppedSomeone who needs clean data, a platform and a team before they can shipSomeone who wants to manage first and build later: the lead role is earned by proven MVPsGeneric ERP, MES or QMS feature work, or machine interaction: other teams own theseWhat we offerMission: Rebuild the industrial sovereignty of the free world. What your systems learn in Factory ONE, every next factory applies.The Environment: A real factory as your lab, with direct access to the people who run it, and ownership of the core of SAEKI's value proposition from day one.The Team: A small, generalist Manufacturing Intelligence team that ships, reporting to the VP of Manufacturing Intelligence.Compensation: Competitive salary + equity.Location: Zurich HQ #J-18808-Ljbffr
Senior ML Engineer in Zürich Arbeitgeber: Saeki
SAEKI ist ein hervorragender Arbeitgeber, der dir die Möglichkeit bietet, in einem innovativen und dynamischen Umfeld zu arbeiten, während du an der Spitze der industriellen Automatisierung stehst. In München, an unserem Standort Factory ONE, profitierst du von einer engen Zusammenarbeit mit Experten aus verschiedenen Bereichen und erhältst früh Verantwortung, um deine Ideen in die Tat umzusetzen. Wir fördern eine offene und teamorientierte Kultur, die dir nicht nur berufliche Entwicklungsmöglichkeiten bietet, sondern auch die Chance, aktiv zur industriellen Souveränität des Westens beizutragen.
