Machine Learning Manager - Marketplace (Smart Positioning)

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.

Key Job Responsibilities and Duties

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.

Important aspects of the job include:

• People Leadership

Build a strong team within their area, by coaching and developing individual contributors

Lead by example by taking ownership, being proactive and collaborating

Nurture, grow and develop ML talent in the team

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

• Technology, Craft & Delivery

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.

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

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

Drive a culture of ownership and technical excellence, including reactive work such as incident escalations

• Architecture & Product Strategy

Thought partner for Product to define, shape and deliver the roadmap

Build new products, processes and operational plans

Negotiate on the strategic importance of the team's product roadmap features

Drive innovation in your team

Own the architecture across your team

Role Qualifications and Requirements

• MSc or Ph.D 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 executing 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.)

• Required working knowledge of Python and SQL. Knowledge of Kafka, Hadoop or Spark are an asset

• 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

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

Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers

Free access to online learning platforms, development and mentorship programs

Global Employee Assistance Program, free Headspace membership

DEI: Diversity, Equity and Inclusion at Booking.com

Diversity, Equity and Inclusion (DEI) 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 create a unique workplace, it also creates a better and more inclusive travel experience for everyone."

We will ensure that individuals with disabilities are provided reasonable adjustments to participate in the interview process. Please contact us to request adjustments.

Career Development Opportunities

Bi-annual performance conversations, company-wide mentoring program, and internal development opportunities

Unlimited access to online learning platforms: Udemy, Coursera, LinkedIn learning, O'reilly

Application Process

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

Full relocation support will be offered for you and your family (if the case) to move to Amsterdam - one of the most cosmopolitan cities in Europe.

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.