Amsterdam On-site Full-time

Booking.com is hiring a Machine Learning Manager - Personalisation ML

Responsibilities

  • 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
  • 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
  • Thought partner for Product to define, shape and deliver the roadmap
  • Build new products, processes and operational plans
  • Negotiate on the strategic importance of own product roadmap features
  • Drive innovation in own team
  • Own the architecture across own team

Requirements

  • 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.
  • Relevant work experience (MSc + 5 years of working experience), involved in the application of Machine Learning to business problems.
  • Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Artificial Intelligence, Physics, etc.).
  • 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.).
  • Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies.
  • Working experience with version control systems.
  • Excellent English communication skills, both written and verbal.
  • 3+ years leading an ML team of a minimum of 4 people in a fast-paced production environment.
  • Successfully 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

  • Living and working in Amsterdam, one of the most cosmopolitan cities in Europe
  • Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travellers worldwide
  • Working in a fast-paced and performance driven culture
  • Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
  • Promote and drive impactful and innovative engineering solutions
  • Technical, behavioural and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
  • Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com
Required Skills
PythonJavaKafkaSQL
About company
Booking.com
Booking.com makes it easier for everyone to experience the world through its products, partners and people. It is a global online travel agency.
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Job Details
Department Personalisation ML
Category other
Posted 18 days ago