Senior ML Engineer (Technical Lead)

Zerolook; Zürich; Vor Ort; Vertraulich; Vollzeit

Benefits dieser Stelle

Stock options

Zusammenfassung

Zerolook is hiring an ML-focused engineer to redefine how air travel is priced. You will design high-performance models for fare and itinerary estimation and own robust data pipelines in a fast-moving startup.

As an early hire, you will define the technical approach, build core domain expertise in ML for travel pricing, and lead a growing team while partnering with founders to shape the Zerolook offering.

Qualifikationen

• 4+ years designing, training, and deploying ML models in production.
• Strong software engineering skills with automated data pipelines.
• Education in CS or related field; startup environment experience.
• Ability to lead and mentor engineers with ownership mindset.

Aufgaben

• Design and implement high-performance, low-latency ML models for fare and itinerary estimation.
• Build and maintain robust data pipelines to process historical fare and schedule data.
• Develop confidence scoring systems to route traffic between ML models and legacy stacks.
• Develop core domain expertise in ML for fare and itinerary prediction.
• Hire, lead and mentor engineers as the team grows.
• Partner with founders and industry organizations to develop Zerolook offering.

Kenntnisse

Broad ML knowledge

Production ML

Data pipelines

Software engineering

Leadership

Strategic collaboration

Ausbildung

Bachelor's or Master's in CS or related field

PhD in CS or Data Science (bonus)

Jobbeschreibung

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