Looking for a role where you can use your ML.
As an early hire, you get to define the technical approach at the center of it all.
TasksModel 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.
RequirementsEducation: 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 RequirementsTravel 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.
in Computer Science and/or educational concentration in Data ScienceBenefitsCompensationCHF 140.
000 + significant stock optionsIf you are ready to bu.