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Machine Learning Manager

2 days ago Amsterdam, Netherlands

Role Description

A key leadership role in Booking.com Performance Marketing department. You will lead a team of experienced Machine Learning Scientists, accountable for driving the next strategic directions for optimizing Booking.com online bidding strategy on top of the most prominent online travel agencies, managing one of the largest performance marketing budgets in the industry, and ensuring Bookings.com's competitive edge in the complex dynamics of the bidding marketplace and online auction mechanisms. This role requires a unique combination of deep theoretical expertise around optimization methodologies, auction theory and state of the art machine learning, together with extensive experience in driving solutions for real-world large scale optimization problems and business products.

Key Job Responsibilities and Duties:

  • Leadership in developing the next strategic solutions and driving business impact for bidding and optimization of Booking ads on top of the leading online travel agencies - lead, coach and mentor a team of machine learning scientists at a fast pace environment of innovation and development of machine learning and optimization algorithms tailored to the performance marketing domain.
  • Leadership in innovation management of the research cycle, involving POC, model development and large-scale AB testing phases, for driving customer engagement while maximizing the efficiency of performance marketing spend.
  • Continuously driving measurable business impact, fully utilizing the various optimization levers in the bidding and optimization space
  • Driving a culture of protagonism, ownership and craft excellence within the team and foster close collaborative relationships between the team and the larger organization
  • Continuously grow and develop the talent in the team and facilitate ways of working that foster the foundations on top of which the team can deliver business impact
  • Extensively work together with senior management to align on business objectives and financial goals

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Qualifications & Skills:

  • Proven record in leading applicative research teams which own the development of innovative machine learning and optimization solutions for large-scale domains.
  • Proficiency in large-scale optimization methodologies and auction mechanisms
  • Proven record of teams development and building and maintaining a culture of high-pace innovation
  • Proven Impact: A track record of delivering measurable business value through the development and implementation of large-scale machine learning models.
  • Strong working knowledge of Python, SQL/BigQuery, Spark
  • Excellent communication skills

Level of Education:

Master's degree or PhD required (Computer Science, Engineering, Mathematics, Artificial Intelligence, Physics)

About Us:

At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

Benefits & Perks - Global Impact, Personal Relevance:

Booking.com's Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:

  • Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
  • Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
  • Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Diversity, Equity and Inclusion (DEI) at Booking.com:

Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.

Take it from our Chief People Officer, Paulo Pisano: "At Booking.com, the diversity of our people doesn't just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech."

We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Application Process:

  • Let's go places together: How we Hire
  • This role does not come with relocation assistance.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Client-provided location(s): Amsterdam, Netherlands
Job ID: booking-21349
Employment Type: OTHER
Posted: 2025-10-16T18:34:30

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • Fitness Subsidies
    • Dental Insurance
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Adoption Leave
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Family Support Resources
    • Return-to-Work Program
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Volunteer Time Off
    • Summer Fridays
  • Financial and Retirement

    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Stock Purchase Program
  • Professional Development

    • Promote From Within
    • Mentor Program
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Leadership Training Program
    • Work Visa Sponsorship
    • Learning and Development Stipend
    • Professional Coaching
    • Shadowing Opportunities
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Unconscious Bias Training