Senior ML Engineer (Technical Lead)

Zerolook; Zürich; Hybrid; CHF 140,000 - 150,000; Full time

Benefits offered by this job

Stock options

Competitive salary

Job summary

Zerolook in Zürich, Switzerland, is hiring an ML-focused engineering leader to build the core fare and itinerary prediction stack. You will define the technical approach and own end-to-end ML systems from model design to production deployment.

As an early hire, you will lead data pipelines, develop confidence-based routing, mentor engineers, and collaborate with founders and industry partners to shape the Zerolook offering.

Qualifications

• Education: Bachelor's or Master's in Computer Science or related field.
• Broad ML knowledge across methodologies and their strengths/weaknesses.
• Production ML: 4+ years designing, training, deploying ML models in production.
• Strong software engineering skills with automated data pipelines.
• Startup DNA: comfortable with 0 to 1 phase, fast iteration and ownership.

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 processing large volumes of historical fare and schedule data.
• Intelligent Routing: Develop confidence scoring to route traffic between ML models and legacy stacks.
• Domain Leadership: develop core domain expertise in ML for fare and itinerary prediction.
• Technical Leadership: hire, lead and mentor engineers as the team grows.
• Strategic Collaboration: partner with founders with key industry organizations.

Skills

Broad ML Knowledge

Production ML Expertise

Engineering Foundation

Startup DNA

Education

Bachelor's or Master's in Computer Science

Ph.D. in Computer Science

Job description

Looking for a role where you can use your ML skills to redefine how an entire industry solves core problems? We have that!
Zerolook ($1.9M raised in August 2026, founded by former Google Flights and Kayak execs) 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.