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Booking Machine Learning Manager - Marketplace Smart Positioning 
Netherlands, North Holland, Amsterdam 
923500321

02.08.2024

Key Job Responsibilities and Duties

Important aspects of the job include:

  • People Leadership

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

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

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

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

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 , that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office

Commuting allowance and bike reimbursement scheme

Free access to online learning platforms, development and mentorship programs

Global Employee Assistance Program, free Headspace membership

Career 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.


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.