דרושים Senior Machine Learning Engineer ב-Booking ב-Netherlands, Amsterdam

About the role

The Senior Business Operations Associate acts as a support for all the quarterly & yearly planning activities, as well as the execution of the planned activities after budget submission, especially tracking the progress between departments following the annual “handshakes”.

You must be able to thrive and succeed in a highly dynamic entrepreneurial environment. This means working with high-level programs and initiatives, but to also roll up your sleeves, dig in and help lead change on a day-to-day basis.

• Create value by ensuring clients objectives and roadmaps are aligned with FinTech BU’s objectives and roadmaps

• Collaborate within the FinTech department and beyond to translate client feedback and needs into recommendations towards GPMs for our product roadmap to optimize our payment solution

• Leverage payment industry knowledge and expertise to expand the clients utilization of innovation around payments

• Proactively upselling FinTech BU’s value proposition to clients so that they can maximize their business potential

• Perform and report on Client performance analyses to track feature adoption and recommend strategies to improve adoption/metrics when needed.

• Demonstrate advanced insights and understanding of clients/FinTech business and challenge appropriately the way a client views both their business and processes (in relation to FinTech

• Experienced professional with 5-8 years in similar positions managing clients in a Payments/FinTech organization

• You are an opportunity magnet that can identify up-selling opportunities for additional payment services.You are willing to obtain feedback from clients regarding potential product enhancements and new service opportunities

• You demonstrate an interest in in-depth research of your client, and identify key aspects of their business

• You have the ability to understand clients business opportunities and ability to upsell them the payment product capability to unlock those opportunities

• You’re fluent in persuasion and always strive to achieve and surpass set objectives

• You have experience of working with different kinds of stakeholders like product, tech, legal, compliance, finance etc

• You have strong organizational skills and experience in tracking and reporting the progress of key projects with stakeholders and leadership of the organization

• Strong verbal and written communication with crisp and business-oriented language; ability to tailor the language to a variety of audiences

• Service excellence and customer driven mindset

• Excellent problem solving, interpersonal skills

• Effective presentations delivery

• Experience working with Jira and related plugins

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.

As a Software Engineer working on the AI Application Platform, you will work at the intersection of scalable backend systems and cutting-edge AI. You will have the opportunity to design and build the core platform that enables product teams to rapidly develop and deploy AI-powered experiences for millions of people. You will tackle complex performance and scaling challenges, shape the foundation of our AI infrastructure, and collaborate closely with ML engineers, data engineers, and data scientists to bring intelligent systems into production at scale.

Important aspects of the job can include:

• Design and evaluate architecture solutions for AI infrastructure, rapidly prototyping to validate key assumptions and guide decision-making.
• Explore, benchmark, and integrate new AI/ML tools and technologies to drive innovative engineering solutions that meet evolving business needs.
• Build and maintain scalable, reusable backend services that support real-time AI/ML inference, model deployment, and data pipelines.
• Collaborate closely with ML engineers, data engineers, and data scientists to bring AI/ML models into production and optimize system performance.
• Take end-to-end ownership of system reliability and operational excellence, including performance tuning, observability and incident management.
• Continuously grow technical and interpersonal skills through hands-on experience, knowledge sharing sessions, and industry events.

We have found that people who match the following requirements are the ones who fit us best:

• Experience in feature engineering, integrating AI/ML models into production systems, and understanding model behavior, performance and constraints.
• Experience building AI agents and components such as memory, context engineering, retrieval, and orchestration.
• Experience working in cross-functional teams alongside ML engineers, data scientists, and product stakeholders to bring AI/ML products to production.
• 7+ years of professional experience in software engineering, with a focus on backend or platform development.
• Experience building distributed systems at scale, with a focus on performance tuning, observability, and reliability best practices.
• Experience with scalable data storage systems (e.g. MySQL, Redis) and optimizing data access and caching for high-throughput applications.
• Proficiency in one or more server-side programming languages such as Java, Scala, or Python.
• Experience with containerization tools like Docker and Kubernetes, and deploying applications in cloud environments such as AWS or GCP.
• Ability to navigate ambiguity, take ownership of complex problems, and drive them to resolution.
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent industry experience.

• 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.
• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers.
• Free access to online learning platforms, development and mentorship programs.
• Global Employee Assistance Program, free Headspace membership.

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.

As a Software Engineer working on the AI Application Platform, you will work at the intersection of scalable backend systems and cutting-edge AI. You will have the opportunity to design and build the core platform that enables product teams to rapidly develop and deploy AI-powered experiences for millions of people. You will tackle complex performance and scaling challenges, shape the foundation of our AI infrastructure, and collaborate closely with ML engineers, data engineers, and data scientists to bring intelligent systems into production at scale.

Important aspects of the job can include:

• Design and evaluate architecture solutions for AI infrastructure, rapidly prototyping to validate key assumptions and guide decision-making.
• Explore, benchmark, and integrate new AI/ML tools and technologies to drive innovative engineering solutions that meet evolving business needs.
• Build and maintain scalable, reusable backend services that support real-time AI/ML inference, model deployment, and data pipelines.
• Collaborate closely with ML engineers, data engineers, and data scientists to bring AI/ML models into production and optimize system performance.
• Take end-to-end ownership of system reliability and operational excellence, including performance tuning, observability and incident management.
• Continuously grow technical and interpersonal skills through hands-on experience, knowledge sharing sessions, and industry events.

We have found that people who match the following requirements are the ones who fit us best:

• 3+ years of professional experience in software engineering, with a focus on backend or platform development.
• Experience building distributed systems at scale, with a focus on performance tuning, observability, and reliability best practices.
• Experience with scalable data storage systems (e.g. MySQL, Redis) and optimizing data access and caching for high-throughput applications.
• Proficiency in one or more server-side programming languages such as Java, Scala, or Python.
• Experience in feature engineering, integrating AI/ML models into production systems, and understanding model behavior, performance and constraints.
• Experience building AI agents and components such as memory, context engineering, retrieval, and orchestration.
• Experience working in cross-functional teams alongside ML engineers, data scientists, and product stakeholders to bring AI/ML products to production.
• Experience with containerization tools like Docker and Kubernetes, and deploying applications in cloud environments such as AWS or GCP.
• Ability to navigate ambiguity, take ownership of complex problems, and drive them to resolution.
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent industry experience.

• 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.
• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers.
• Free access to online learning platforms, development and mentorship programs.
• Global Employee Assistance Program, free Headspace membership.

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.

As a Software Engineer working on the AI Application Platform, you will work at the intersection of scalable backend systems and cutting-edge AI. You will have the opportunity to design and build the core platform that enables product teams to rapidly develop and deploy AI-powered experiences for millions of people. You will tackle complex performance and scaling challenges, shape the foundation of our AI infrastructure, and collaborate closely with ML engineers, data engineers, and data scientists to bring intelligent systems into production at scale.

Important aspects of the job can include:

• Design and evaluate architecture solutions for AI infrastructure, rapidly prototyping to validate key assumptions and guide decision-making.
• Explore, benchmark, and integrate new AI/ML tools and technologies to drive innovative engineering solutions that meet evolving business needs.
• Build and maintain scalable, reusable backend services that support real-time AI/ML inference, model deployment, and data pipelines.
• Collaborate closely with ML engineers, data engineers, and data scientists to bring AI/ML models into production and optimize system performance.
• Take end-to-end ownership of system reliability and operational excellence, including performance tuning, observability and incident management.
• Continuously grow technical and interpersonal skills through hands-on experience, knowledge sharing sessions, and industry events.

We have found that people who match the following requirements are the ones who fit us best:

• Experience in feature engineering, integrating AI/ML models into production systems, and understanding model behavior, performance and constraints.
• Experience building AI agents and components such as memory, context engineering, retrieval, and orchestration.
• Experience working in cross-functional teams alongside ML engineers, data scientists, and product stakeholders to bring AI/ML products to production.
• 7+ years of professional experience in software engineering, with a focus on backend or platform development.
• Experience building distributed systems at scale, with a focus on performance tuning, observability, and reliability best practices.
• Experience with scalable data storage systems (e.g. MySQL, Redis) and optimizing data access and caching for high-throughput applications.
• Proficiency in one or more server-side programming languages such as Java, Scala, or Python.
• Experience with containerization tools like Docker and Kubernetes, and deploying applications in cloud environments such as AWS or GCP.
• Ability to navigate ambiguity, take ownership of complex problems, and drive them to resolution.
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent industry experience.

• 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.
• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers.
• Free access to online learning platforms, development and mentorship programs.
• Global Employee Assistance Program, free Headspace membership.

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.

As a Machine Learning Scientist in Performance Marketing, your work will focus on devising and implementing advanced machine learning and optimization approaches for the next generation of Booking.com performance marketing bidding algorithms. Specifically, you will work on optimizing our bidding strategy on top of the most prominent online travel agencies, ensuring our competitive edge in the complex dynamics of the bidding marketplace and online auction mechanisms. This role requires a unique combination of deep theoretical knowledge around large-scale optimization techniques, auction theory and applying state of the art machine learning methodologies to scalable industrial setups.

Key Job Responsibilities and Duties

• Devise and develop state-of-the-art techniques for the next phase of our online bidding algorithms, including modeling user intent, modeling the online marketplaces, and optimizing our bidding strategy to maximize the efficiency of how we spend our advertising budgets.

• Design and implement scalable evaluation pipelines, including synthetic data generation and benchmarking for model quality, relevance, and consistency.

• Ensure the reliability, efficiency, and scalability of evaluation tools and frameworks in both offline and online environments.

• Conduct in-depth data analysis to define and track evaluation metrics, validate label quality, and explore performance across different traffic siloes.

• Collaborate closely with ML engineers to integrate evaluation components into production pipelines, supporting continuous improvement of bidding applications.

• Work cross-functionally with commercial and analytics teams to align evaluation strategies with business goals and user impact.

Role qualifications and requirements

• Master’s degree or PhD required (Computer Science, Engineering, Mathematics, Artificial Intelligence, Physics)

• Industry or academia knowledge of large scale optimisation techniques or mechanism design or auction theory.

• Proven record in devising and developing innovative machine learning and optimization solutions for large-scale business problems. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.

• Relevant work or academic experience (MSc + 4 years of working experience, or PhD + 2 years of working experience), involved in the application of Machine Learning to business problems.

• 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, Commercial, Data Analytics, etc.).

• Very strong working knowledge of Python, SQL/BigQuery, Spark

• Excellent English communication skills, both written and verbal.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• 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

Application Process:

• Let’s go places together:

• This role does not come with relocation assistance.

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.

Role Description:

The Senior Accountant is responsible for a variety of accounting activities in accordance with accounting principles and standards to control the organization’s financial resources and ensure compliance with all relevant regulations, laws, and reporting requirements in line with US GAAP. The role will have ownership for a specific scope, including monthly operational expenditure analysis and accrual, supporting monthly flux commentary and management reporting, and closely overseeing control activities of the BHFS program. This role will include oversight of other accountants on routine, non-complex tasks, including coaching and development of those accountants, supporting new hires with their onboarding, and promoting more efficient/effective processes.

Key Job Responsibilities and Duties:

• Act as a connected business partner for internal stakeholders on tasks and projects with a cross functional impact.

• Responsible for the detailed accounting of operational expenditure expenses and accruals. Responsibility includes posting journal entries based on complete and accurate information per the month-end close timeframe, reconciling accounts, and performing analysis subsequently to maintain a complete and accurate general ledger.

• Analyze, compile and verify financial information and create financial reports and accounting statements so that the extended leadership team has accurate and timely information for making financial decisions.

• Be the subject matter expert in the accounting areas owned, being able to analyze and respond to questions, act as a point of contact, and work with functional or operational stakeholders to help with development of budgets, understanding of financial reports, and management of their financial responsibilities.

• Proactively support in covering all compliance requirements, i.e. Sox, tax, statutory and statistical filings and audits.

• Support internal & external audits and inquiries.

• Ensure mastering of systems and processes are complete, responsible for ledgers involving multiple countries and / or stakeholders.

• Support the team by identifying and communicating issues, with recommended process improvements, where possible.

• Identify and complete process improvement projects (including completion of existing projects and working through new projects).

• Provide oversight of other accountants on routine, non-complex tasks.

• Mentor and coach team members with onboarding and continuous development.

Please note that this list of duties is not exhaustive and you may be required to complete ad-hoc tasks as requested by your manager.

Qualifications & Skills:

• Minimum 3-5 years of Accounting experience

• Strong interpersonal skills and stakeholder management

• Experience in working with Product, Business Intelligence/Data teams is beneficial

• Knowledge of US GAAP/IFRS

• Able to cope with dynamic and high change environment

• Takes ownership for responsibilities with a positive attitude

• Strong interpersonal and communication skills

• Proactive self-starter, resourceful with strong work ethic

• Solution-oriented and result-driven

• Capable of working independently as well as working in a team

• Strong IT experience in financial systems, including SAP, is preferable

• Fluent in spoken and written English

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• 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

Application Process:

• Let’s go places together:

• This role does not come with relocation assistance.

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.

You will be responsible for improving our team's workflows through process standardization, automation of financial reporting, and transformation projects aimed at enhancing planning and control processes and adopting digital reporting.

Lastly, you will also work on cost optimization projects. This will require close cooperation with FP&A peers, the Business, and relevant teams outside of FP&A.

Due to the rapid and continuous growth of the organization, the tasks and duties of this role will evolve over time. You will be keen to develop and grow within the role and challenge yourself to take on additional projects and responsibilities as they present themselves.

Responsibilities:

• Advise and influence senior stakeholders—including those at Senior Director/business unit level—by regularly providing strategic input and shaping complex business decisions.

• Lead the development and execution of financial planning processes, including annual budgets, quarterly forecasts, and long-term strategic plans;

• Conduct comprehensive financial analysis to identify trends, opportunities, and risks, providing actionable insights to senior management for decision-making;

• Collaborate with the business to identify what drives (financial) success for Finance and Strategy and develop key performance indicators and metrics for these drivers;

• Clearly present analyses and reports to business partners for informed decisions. Tailor communications for senior audiences (Directors, VPs) and lead negotiations on competing business interests.

• Initiate and oversee cross-functional process or tooling improvements, drive process automation, and own transformation projects with broad organizational impact.

• Lead deliverables with medium-to-high business impact and complexity, influencing business outcomes across multiple teams, tracks, and the broader Business Unit.

• Work with a high level of autonomy, taking responsibility for deliverables with minimal guidance, and routinely review and approve the work of colleagues.

• Own large, cross-functional projects and initiatives that drive operational and tactical advancement of the organization’s business objectives.

• Work with other business controllers, accounting and business teams on month-end close to accurately report business results and provide insightful explanatory commentary;

• Actively contribute to the Business Controller Craft community, sharing best practices, aligning on standardized processes and participating in regular meetings and retros to foster innovation and alignment across teams.

Skills and experience required:

• 5+ years of relevant progressive experience within FP&A / Business Control ;

• Bachelor’s degree in Business, Finance, or other related field;

• Additional professional certification (CPA/RC/CIMA/CMA) or studying is a plus;

• Advanced knowledge of Excel required, Google Sheets is a plus;

• Financial modelling and analytical skills;

• Ability to business partner with demanding stakeholders;

• You are able to take ownership of tasks/processes;

• Ability to listen, work with and proactively advise business partners;

• Sees the headlines whilst having attention for the details;

• Is able to explain economics and Finance to non-Finance business partners in a simple, understandable manner;

• Integrate strategic oversight and dig into details with granular financial analysis to resolve intricate issues.

• Excellent communication skills (both written and verbal) in English;

• Strong team player while being able to work independently;

• Comfortable working in cross-functional teams and in an unstructured environment;

• Demonstrated ability to manage multiple competing priorities simultaneously and drive projects to completion.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards are striven to make it easier for you to experience all that life has to offer—all the messy, beautiful, and joyful bits—on your terms. So you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:

• Health, life, and disability insurance*

• 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 for yourself, friends, and family, including automatic Genius Level 3 status and Booking.com wallet credit

• Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership

• On-site meals, coffee, and snacks, including healthy and vegan options, daily

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.