Senior ml engineer (technical lead)

Role Summary Looking for a role where you can use your ML skills to redefine how an entire industry solves core problems? We have that! Zerolook is changing how air travel is priced, and ML is at the core of our approach. As an early hire, you get to define the technical approach at the center of it all. Key Responsibilities Model Architecture: Design and implement high-performance, low-latency ML models for fare and itinerary estimation. Data Engineering: Build and maintain robust data pipelines to process massive volumes of historical fare and schedule data. Intelligent Routing: Develop confidence scoring systems to intelligently route traffic between ML models and current legacy stacks. Domain leadership: develop core domain expertise in the field of using ML for fare and itinerary prediction. Technical Leadership: hire, lead and mentor other engineers as the team grows. Strategic Collaboration: Partner alongside the founders with key organizations in the industry in developing the core Zerolook offering. Requirements Education: Bachelors or Masters in Computer Science or related field. Broad ML Knowledge: familiarity with the breadth of ML approaches and their relative strengths and weaknesses. Production ML Expertise: 4+ years in designing, training, and deploying ML models in production environments. Engineering Foundation: Strong software engineering skills with experience building robust, automated data pipelines. Startup DNA: Comfortable with the "0 to 1" phase-ambiguity, fast iteration, and taking extreme ownership. Bonus Requirements Travel Tech: Previous experience with OTAs, metasearch, or GDS/NDC integration is a significant plus. Large scale applications: experience building applications serving over 10 K QPS at latencies on the order of 1 sec. Education: Ph. D. in Computer Science and/or educational concentration in Data Science About Zerolook Zerolook is scaling flight distribution infrastructure for the AI era. Today's high-funnel metasearch and emerging agentic AI traffic create massive query volumes that are economically impossible to serve using conventional GDS and NDC systems. We are building a machine learning-powered engine to estimate prices with millisecond latency, bypassing the need for costly live lookups on every search. We already have agreements with our first customers, and are currently in the process of building the product. You will work directly with our founders-George (CTO, ex-KAYAK/Google) and Simone (CEO, ex-Google/Lastminute)-to define the technical future of travel. What We Offer Compensation Depending on location: Milan: EUR 90.000-100.000 + stock options Zurich: CHF 140.000-150.000 + stock options Location Milan, Italy or Zurich, Switzerland, hybrid (2-3 days in office) Impact Early equity and a leading role in a startup solving a global problem in the air travel industry Equipment Modern hardware and workstation budget How to apply If you are ready to build the infrastructure that will power the next generation of travel search, we want to hear from you. Please reach out to [email protected] with your CV and a brief note on the most challenging ML system you've moved into production.