Machine Learning Engineer II

Booking.com; Amsterdam; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work

Generous paid leave

Discounts on Booking.com

Amsterdam living and city perks

Competitive compensation

Descripción de la vacante

Booking.com in Amsterdam is seeking a Machine Learning Engineer to own projects from ideation to productization, coach others, and drive business impact. You will work across ML, backend, and frontend with an AI-first mindset.

You will collaborate with cross-functional teams to evaluate AI solutions, deploy scalable ML systems, and advance data-driven product development. The role requires strong English communication and a proactive, can-do attitude.

Formación

• 3+ years of experience applying Generative AI and ML to business problems.
• Proficiency in Python and SQL; Java is a plus.
• Experience deploying ML systems in production with high throughput.
• Data-driven product development: analytics, A/B testing.
• Experience in cloud environments.
• Excellent English communication skills.

Responsabilidades

• Track developments in Agentic AI, evaluation, and AI-assisted software engineering.
• Shape AI evaluation strategies with product teams.
• Build AI-first tooling, including skills, tools, and agent profiles.
• Define technical direction through RFCs, designs, and architecture proposals.
• Collaborate with ML teams to improve tooling and infra.
• Contribute to an AI-first engineering culture through reviews.
• Drive quality culture for ML practitioners.
• Identify issues in ML development cycle and introduce tools.
• Continuously evolve your craft with latest tech.

Conocimientos

Python

SQL

Java

Cloud

ML Deployment

Data Analysis

English

Educación

CS Degree

AI/ML Degree

Descripción del empleo

About us:

At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

About the team:

• Build tooling to evaluate, maintain, and improve AI solutions.
• Develop Evaluation-as-a-Service and tools for creating LLM judges.
• Create AI-first workflows for evaluating traveller-facing, partner-facing, and internal AI solutions.
• Explore how evaluation can improve coding agents, skills, and other AI-powered software development tools.
• Build end-to-end systems across AI, backend services, and user interfaces.
• Work as a cross-functional team of ML, backend, frontend, and full-stack engineers.
• Use an agile, collaborative, and AI-first approach to help teams develop high-quality AI safely and effectively.

Role Description:

As a Machine Learning Engineer you are a driver of your field, who generates significant business impact directly and indirectly, and crafts the direction of product initiatives by being driven and having full ownership of your projects - from ideation to productizing, measuring and iterating on them - as well as coaching other Machine Learning Engineers, Scientists and Product Managers, etc to do the same.

Key Job Responsibilities and Duties:

• Track developments in Agentic AI, evaluation, and AI-assisted software engineering.
• Work with product teams to shape AI evaluation strategies, including offline and online evaluation.
• Build AI-first tooling, including skills, tools, and agent profiles, and design and develop reliable backend services and APIs.
• Define technical direction through RFCs, designs, and architecture proposals.
• Collaborate with relevant ML teams across the company to improve, scale and extend AI tooling and infrastructure.
• Contribute to an AI-first engineering culture through code and architecture reviews.
• Drive a culture of quality for all ML practitioners
• Identify underlying issues and opportunities across the ML development cycle and introduce tools to be used within and outside the team for efficient development and testing.
• Continuously evolve your craft, keeping up to date with the latest technologies.

Qualifications and Skills:

• 3+ years of relevant work experience, involved with the application of Generative AI and Machine Learning Engineering to business problems in a commercial environment.
• Strong skills in coding and problem solving. Proficiency in at least one programming language; preferably Python and strong command of SQL is strictly required. Knowledge of Java is a plus.
• Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.
• Experience running Machine Learning systems in production is a must, with knowledge on how to generate predictions for ML frameworks with high throughput.
• Experience with data-driven product development: analytics, A/B testing, etc.
• Experience working in a cloud environment is a plus.
• Willingness to learn and understand complex and multidisciplinary business problems and concepts related to booking.com business operations especially in marketing and finance fields
• You have a ‘can do’ attitude and you act proactively and not reactively.
• BSc or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields.
• Excellent English communication skills, both written and verbal.

Benefits & Perks - Global Impact, Personal Relevance:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
• 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 travelers 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, behavioral 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

Diversity, Equity and Inclusion (DEI) at Booking.com:

Diversity, Equity & Inclusion 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 build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.”

We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Application Process:

• This role does not come with relocation assistance, therefore candidates must be currently based in the Netherlands in order to be considered.

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.

Key Skills

N/A

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.