• Model Architecture: Design and implement high-performance, low-latency ML models for fare and itinerary estimation.
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• Data Engineering: Build and maintain robust data pipelines to process massive volumes of historical fare and schedule data.
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• Intelligent Routing: Develop confidence scoring systems to intelligently route traffic between ML models and current legacy stacks.
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• Domain leadership: develop core domain expertise in the field of using ML for fare and itinerary prediction.
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• Technical Leadership: hire, lead and mentor other engineers as the team grows.
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• Strategic Collaboration: Partner alongside the founders with key organizations in the industry in developing the core Zerolook offering.
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Requirements

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• Education: Bachelors or Masters in Computer Science or related field.
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• Broad ML Knowledge: familiarity with the breadth of ML approaches and their relative strengths and weaknesses.
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• Production ML Expertise: 4+ years in designing, training, and deploying ML models in production environments.
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• Engineering Foundation: Strong software engineering skills with experience building robust, automated data pipelines.
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• Startup DNA: Comfortable with the "0 to 1" phase-ambiguity, fast iteration, and taking extreme ownership.
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Bonus Requirements

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• Travel Tech: Previous experience with OTAs, metasearch, or GDS/NDC integration is a significant plus.
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• Large scale applications: experience building applications serving over 10K QPS at latencies on the order of 1 sec.
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• Education: Ph.D. in Computer Science and/or educational concentration in Data Science
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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.