Job Properties
  • Job Type
    Full-time Position
  • Category
    Research & Science
  • Languages
    English
  • Experience Required
    Entry
  • Degree Required
    Bachelor
    • Province
      Amsterdam
    • Date Posted
      December 02,2021
    • Entrusting Package
    • JSS
    • VISA
    • MOCKINTERVIEW
    • IMG_6430
    • Career Consultation
    • COVERLETTER CHECK

    Machine Learning Scientist - Segments - Accommodations

    At Booking.com, we make it easier for everyone to experience the world. Booking a trip to see the Eiffel Tower, stroll down New York’s iconic Madison Avenue or feel the sand between our toes on Copacabana Beach is simply a matter of a few taps on our smartphone. And while that world might feel a little farther away right now, we’re busy preparing for when the world is ready to travel once more. Across our offices worldwide, we continue to innovate. To solve for some of the most complex challenges in travel and technology, and to plan for the exciting developments that lie ahead. With strategic long-term investments into what we believe the future of travel can be, we are opening up new career opportunities that will have a strong impact on our mission. We are united in the belief that our very human desire to explore the planet’s beauty and discover more about other people and cultures will endure. The world is waiting for us. Together, we will be ready.

    In Segments our vision is that “everyone can stay anywhere, with anyone, for as long as they like”. With this vision we make sure that anyone, including families and big groups, can find what they need; be it a rusty cabin with a fireplace in nature, or a five-star suite in one of the international chain hotels in the city center, for a weekend or a month. We are looking for a Machine Learning Scientist who thrives in a fast-paced, collaborative environment, and is comfortable working on a wide breadth of projects.

    As a Machine Learning Scientist you are a subject-matter expert in the theory behind one or more of the following areas of machine intelligence: recommendation systems, classification/regression problems, NLP/Computer Vision, and their implementation as end-to-end products that generate direct business impact. You define the strategy and vision for how to generate outsized impact through automated intelligence for a product by driving a research agenda and development plan from ideation to prototyping to full productionisation.

    • Develop the strategy and research plan for machine intelligence on a product family by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences.
    • Document and share the findings, and generalise these technologies into reusable frameworks.
    • Translate broad business problems into ML/AI challenges and identify the best approach within the constraints of the production environment.
    • Independently define and build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders.
    • Drive the end-to-end execution of the ML/AI development process on products, from understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch and stream-based deployment.
    • Develop production-grade machine learning code, from models to features and pipelines, allowing for scalability, realtime, monitoring and retraining.
    • Monitor product health, performance and business impact and act accordingly when requirements are not met.
    • Build readable and reusable code, choosing the right technologies, coding methodologies, and approach from carefully designed rapid prototyping to software deployment at scale.
    • Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields. Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
    • Identify underlying issues and opportunities across domains and situations through application of structured thinking and logic, and drive concrete improvements. Guide and support colleagues dealing with complex scenarios.
    • Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, introducing them to the machine learning community and promoting their application in areas where they can generate impact.
    • Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues.
    • Push for improvements, scaling and extending machine learning tooling and infrastructure, collaborating with central teams.

    B.Skilled

    • Ability to design an applied research plan for a product family from scratch as evidenced by peer-review publication or similar track record.
    • Strong relevant work or academic experience (MSc + 2 years of working experience, or PhD), involved in the development and application of Machine Learning.
    • 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, Hadoop, SQL, Spark or similar big data technologies.
    • Excellent English communication skills, both written and verbal.

    B.Offered

    • 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

    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, colour, 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.

     
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