Machine Learning Manager - Marketplace (Smart Positioning)

lecting and sorting elements such as search filters banners. The team develops and trains ML models, in both offline and online learning modes and integrates them to production code using the company's frameworks.

As a Machine Learning Manager, you are responsible for leading a team of machine learning practitioners and the technology that the team owns. You will not only work as a coach for your people but also as a technical leader, ensuring that the right technical decisions are made when building our product. You would be managing 5-7 Machine Learning Scientists/Engineers and Data Engineers that span across more than one product team within our Customer Centric Data track.

Key Job Responsibilities and Duties:

• Build a strong team within their area, by coaching and developing ML talent in the team

• Lead by example by taking ownership, being proactive and collaborating

• Foster a great culture that innovates, work together as a team, partner with other Booking.com com teams and celebrates unified success

• Translate business problems into viable, reliable and robust ML and AI solutions, accounting for constraints of the production environment

• Monitor product health, performance and business impact and act accordingly when requirements are not met

• Adhere to the default principles for Architecture, quality and non-functional requirements

• Own the architecture across team and drive a culture of ownership and technical excellence, including reactive work such as incident escalations

• Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues

Qualifications & Skills:

• University degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Artificial Intelligence, Physics, etc.)

• At least 5 years of industry experience and at least 2 years managing ML scientists and engineers. Involved in the application of Machine Learning to business problems

• Advanced knowledge and experience in areas like e.g. Recommender Systems, Online Machine Learning, Information Retrieval, Multi Armed Bandits, Causal Inference and Scaling ML models serving and training

• Experience designing and completing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like

• Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development

• Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.)

• Excellent English communication skills, both written and verbal

• Successful experience driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels

• Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators

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: parental (22-weeks paid leave), grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)

• A beautiful sustainable HQ Campus in Amsterdam, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office

• Commuting allowance and bike reimbursement scheme

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

• Free access to online learning platforms, development and mentorship programs

• Global Employee Assistance Program, free Headspace membership

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

• The interview process will entail 2 technical interviews and 1 behavioural interview.

• 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.