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.

Tasks

• 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 10K QPS at latencies on the order of 1 sec.
• Education: Ph.D. in Computer Science and/or educational concentration in Data Science

Benefits

Compensation

CHF 140.000-150.000 + significant stock options

If you are ready to build the infrastructure that will power the next generation of travel search, we want to hear from you.