Senior ML Engineer (Technical Lead)

Zerolook; Zürich; On-site; CHF 140,000 - 150,000; Full time

Job summary

Zerolook in Zürich is seeking an ML-focused engineer to shape pricing and routing for air travel. You will help define the technical approach at the heart of our platform as an early hire.

You will design production ML models, build robust data pipelines, and lead a growing team while collaborating with the founders and industry partners to deliver Zerolook's core offering. This role blends research with production ownership, requiring strong software engineering and a willingness to own

Qualifications

• Bachelor's or Master's in Computer Science or related field.
• Broad ML knowledge across approaches and trade-offs.
• 4+ years designing, training and deploying ML models in production.
• Strong software engineering with robust data pipelines.
• Comfort with fast iteration and ownership in a startup.

Responsibilities

• Model Architecture: Design and implement high-performance, low-latency ML models for fare and itinerary estimation.
• Data Engineering: Build and maintain data pipelines to process historical fare and schedule data.
• Intelligent Routing: Develop confidence scoring systems 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 other engineers as the team grows.
• Strategic Collaboration: Partner alongside the founders with key organizations in developing the core Zerolook offering.

Skills

Broad ML Knowledge

Production ML Expertise

Engineering Foundation

Startup DNA

Education

Bachelor's or Master's in Computer Science or related field

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 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