Job Properties
  • Job Type
    Full-time Position
  • Background
  • Languages
  • Experience Required
    3 - 5 Years
  • Degree Required
    • Province
      841 reviews
    • Date Posted
      April 24,2021
    • VISA
    • IMG_6430
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    • internship package

    Engineering Manager - Machine Learning

    At, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, and lines of code. We’re the thrill of the first night in a new place, the excitement of the next morning, the friends you make, the journeys you take, the sights you see, and the food you sample. Through our products, partners and people, we can empower everyone to experience the world.

    Our Machine Learning Platform is behind what makes Booking able to deliver personal experiences and you will be in a unique position to support multiple areas of the business as they used ML to tackle some of the hardest problems that we face, from detecting fraud to recommending which properties you should check for your next stay.

    This is a fantastic opportunity for a strong hands-on Engineering Manager. This role is primarily to manage, coach and develop an engineering team, ensuring the development of both the individual and team as a whole are in line with organizational objectives and direction. You should be a technically strong role model to help your team advance and develop. The role will require analyzing technology and human talent needs, together with market demand. In addition to this, you will have to collaborate and work closely with other leaders, key stakeholders and Machine Learning teams to determine engineering feasibility, cost effectiveness and scalability for new and existing products.

    The team that you will manage is at the core of what a Machine Learning Platform enables: providing the ability to build Machine Learning models. You will be in charge of giving our ML Practitioners the tools they need to build models for a variety of purposes, using multiple sources of data both while exploring new techniques and productionizing those that prove worthy in a reproducible way so that they continue to update over time.


    People Leadership

    • Directly manage engineers
    • Lead by example by taking ownership, being proactive and collaborating
    • Nurture, grow and develop engineering talent in the team
    • Foster a great culture that innovates, work together as a team, partner with other com teams and roles and celebrates unified success
    • Respect the values and use them as a guide to the way we work

    Technology, Craft & Delivery

    • Experience in designing and architecting APIs, dealing with high traffic
    • Experience in large scale data processing and workflow management
    • Mastery in technology leadership
    • Engineering delivery, quality and practices within own team
    • Delivery of the wider engineering strategic objectives
    • Embed agile ways of working and company values within the team
    • Ability to get into the technical detail (where required) to coach, support and mentor the team
    • Adhere to the default principles for architecture, quality and non-functional requirements
    • Contribute to the evolution of best practices across the department
    • Drive a culture of ownership and technical excellence, including reactive work such as incident escalations
    • Learn new technologies and keep abreast of existing technologies to be able to share learnings and apply these to a variety of projects when needed

    Architecture & Product Strategy

    • 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 the team
    • Own the architecture across the team


    • 6+ years of experience in software development
    • At least 3 years of experience leading and managing a team of engineers in a fast-paced and complex environment
    • Experience working with Kubernetes and Docker
    • Experience in defining and upholding SLOs/KPIs and conducting architecture reviews for systems
    • Experience deploying data processing solutions on cloud providers is a plus
    • Experience with big data tools (eg Spark) and ML frameworks (eg TensorFlow) commonly used for ML is a plus
    • Experience working with workflow management tools such as Apache Airflow is a plus
    • Ability to manage multiple teams is a plus
    • A deep understanding of software development in a team, and a track record of developing and shipping software
    • Strong technical skills (Coding & System design) with ability to get hands-on with your team if needed
    • Excellent communicator with strong stakeholder management experience, good commercial awareness and technical vision
    • You have driven successful technical, business and people related initiatives that improved productivity, performance and quality
    • You are a humble and thoughtful technology leader, you lead by example and gain your teammates’ respect through actions, not the title
    • Analytical skills and data-driven mindset


    • 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 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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