Senior ML Engineer (Technical Lead)

Zerolook; Zürich; Hybrid; CHF 90.000 - 100.000; Vollzeit

Benefits dieser Stelle

Stock options

Modern hardware and workstation budget

Zusammenfassung

Zerolook, based in Zurich, is seeking a Machine Learning Engineer to help redefine air travel pricing through innovative ML solutions. You will design and implement ML models, build robust data pipelines, and lead technical teams as we scale our infrastructure for the AI era.

As an early hire, your contributions will have a significant impact on the future of travel technology. Join our team of experts and collaborate directly with our founders to define the next generation of travel search.

The role is hybrid, with 2-3 days in the office. We offer competitive compensation and equity opportunities to the right candidate.

Qualifikationen

• 4+ years of designing, training, and deploying ML models in production.
• Strong experience building robust, automated data pipelines.
• Familiarity with the breadth of ML approaches.

Aufgaben

• Design and implement high-performance ML models for fare estimation.
• Build and maintain robust data pipelines for historical data.
• Develop intelligent routing confidence scoring systems.

Kenntnisse

Machine Learning Expertise

Software Engineering

Data Engineering

Technical Leadership

Startup Experience

Ausbildung

Bachelors or Masters in Computer Science

Ph.D. in Computer Science

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.

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 10K 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

Milan: EUR 90.000-100.000 + 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 [e-mail] with your CV and a brief note on the most challenging ML system you've moved into production.