דרושים Machine Learning Manager - Genai Foundation Models ב-Booking

The product marketer in this role will join the Partner sourcing product marketing team, part of the Accommodations Product department. The team is responsible for some of ’s largest commercial products (Like Genius, Preferred, Mobile discounts) in the area of Pricing & Supply that deliver unparalleled value to all parts of our marketplace - accommodation partners, travelers and Booking.com. Here are a few examples of challenges that we are pursuing that the candidate may work on:

• Perfecting the right formula for competitive pricing is the highest priority of the accommodation business unit. Our intent is to offer attractive rates and deals globally and we do that by monitoring relevant prices in the market and creating deal events or discounting rates with Booking.com funds.

• Sourcing competitive prices directly from our accommodation partners by crafting a compelling story and bringing this to life across various channels is one of the key challenges for our product marketing team

• We drive partner adoption and retention of our products by creating compelling and data-driven value propositions together with other content, tools and materials to help them make informed decisions and implement our products - all while keeping the end user, accommodation partner, in mind.

• To steer the adoption & retention of our products, we work very closely with digital and human channels, often innovating on how to test and scale across these channels. Creating collateral and enablement materials for these channels is a key responsibility for the product marketing manager in this team

• Driving customer loyalty is essential, but we also need to ensure that it drives incremental business to our partners and to ensure this, we constantly evolve the Genius program.

• We constantly monitor the status of our listings and continuously deliver solutions that match our supply of available rooms with shifting demand patterns, in order to offer the most relevant choices when travelers are searching for an accommodation

• We make our products more flexible and hence accessible to newer partner segments by understanding critical needs and translating them to strong opportunities in the product roadmap

• We often work on company priorities & Must-do’s which need to trickle down to our products and solutions (both compliance and business optimization driven)

• We organize and participate in global and regional partner-facing events (like Click, Elevate etc.)

• Being a Product Marketing Manager for mature commercial products is about identifying new avenues to scale and improve products, features and services that help increase partner satisfaction, improve customer experience and grow the commercial success of Booking.com. With vast amounts of data at your fingertips, you will scale, create, test and validate value propositions for partners across the globe. Therefore, you will work on a global scale and with a great impact.

Manage all aspects of product marketing across multiple products including: product proposition validation and market fit, go-to-market strategy, new product launch, portfolio marketing strategy and execution, positioning, messaging, competitive research, internal communications and field enablement. Some of the things we expect you to excel at:

• Represent the customer/partner at all times, both internally and externally, while keeping eye on the business interests of B.com.

• Own the end-to-end GTM process from target setting, planning, implementation, reporting and retrospective.

• Proactively manage stakeholders across the organization to influence and share information, in the right medium, at the right time across local and global audiences.

• Responsible for internal communication to the field, including identifying the right channel is used with the relevant, timely and accurate product and commercial updates.

• Own strategy for all external communications, working with all key stakeholders (internal and external) to execute.

• Validate value propositions with target audience through qualitative and quantitative research methods.

• Provide ongoing product feedback to product teams, aggregated from multiple channels.

• Drive business impact or growth using data, analytical thinking and structured presentation skills.

• Work with other teams to establish potential commercial incentives to drive API adoption.

• 3-5 years of experience shaping and taking to market a suite of products addressing a major external customer or partner need, beyond an individual isolated feature.

• 3-5 years of experience defining and marketing a commercial product or portfolio of products, which required the definition and achievement of adoption targets and ambition to scale to all relevant customers within a timeframe.

• Partner (B2B) product marketing experience, which required longer and non-linear product validation and scaling, combining quantitative and qualitative validation beyond a single experiment, taking into account partner, customer and platform impact to define market fit and scaling approach.

• Product commercialization experience, working with go-to-market stakeholders to pilot and scale the product by embedding it into commercial frameworks and existing incentive programs of channels.

• Complex and multi-craft stakeholder management with the ability to steer and influence decision-making for product direction, speed to market and path to impact throughout the entire product lifecycle.

• Strong verbal & written communication, manifested in the ability to craft compelling value propositions and work alongside writing and marketing resources to deliver the product proposition in a balanced business and marketing centric manner for internal and external marketing purposes.

• Good at business economics, to help shape product impact measurement alongside data science and product management peers.

• Balanced t-shaped skill set, balancing technical understanding of the product / fluency with engineering teams with marketing centricity and understanding of go-to-market terms and stakeholder needs

• Well-rounded marketing experience in various marketing roles and good understanding of the full marketing mix, from product, to distribution, to communication and pricing.

• Comfort with stage presence and exposure to internal and external audiences for product pitches

• Basic querying skills and ability to find, process and use various data points and facts (internal and external) to make decisions

• Strong interpersonal skills and ability to manage initiatives across multiple departments and stakeholders and with a flexible mindset

• Proactive, flexible and capable of working independently as well as working in a team

• Strategic thinker, able to balance long-term vision with short and medium-term goals

• 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:

As a Senior Data Engineer, you’ll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects—ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Key Job Responsibilities and Duties:

• Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

• Dealing with massive textual sources to train GenAI foundation models.

• Solving issues with data and data pipelines, prioritizing based on customer impact.

• End-to-end ownership of data quality in our core datasets and data pipelines.

• Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

• Providing tools that improve Data Quality company-wide, specifically for ML scientists.

• Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

• Acting as an intermediary for problems, with both technical and non-technical audiences.

• 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

• Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Qualifications & Skills:

• Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related field.

• Minimum of 6 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.

• You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.

• You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)

• Strong programming skills in languages such as Python and Java.

• Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

• Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

• Experience with Data Warehousing and ETL/ELT pipelines

• Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.

• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

• Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.

• Experience of working on products that impact a large customer base - an advantage.

• Excellent communication in English; written and spoken.

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.

Role Description:

As a machine learning scientist, your work will focus on building, training and deploying content models (Computer vision, NLP and Generative AI) using the most advanced technologies and models.
You will be responsible for identifying and proposing the most appropriate data sources and modeling techniques to solve complex problems and drive business value.

Key Job Responsibilities and Duties:

• Explore and apply state-of-the-art techniques in multimodal machine learning.

• Train innovative ML models (NLP, CV, LLM-finetuning…), build algorithms, and engineering approaches to drive business impact..

• Coding skills: ensure implementation of reusable frameworks (clean and scalable code).

• Conduct data analysis with detailed metrics to evaluate model’s performance, labels quality, features exploration.

• Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.

• Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

Qualifications & Skills:

• Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and GenerativeAI models at scale.

• Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.

• Relevant work or academic experience (MSc + 5 years of working experience, or PhD + 3 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, Engineering 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.

• 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

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.

Role Description:

As a Data Engineer, you’ll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects—ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Key Job Responsibilities and Duties:

• Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

• Dealing with massive textual sources to train GenAI foundation models.

• Solving issues with data and data pipelines, prioritizing based on customer impact.

• End-to-end ownership of data quality in our core datasets and data pipelines.

• Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

• Providing tools that improve Data Quality company-wide, specifically for ML scientists.

• Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

• Acting as an intermediary for problems, with both technical and non-technical audiences.

• 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

• Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Qualifications & Skills:

• Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related field.

• Minimum of 3 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.

• You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.

• You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)

• Strong programming skills in languages such as Python and Java.

• Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

• Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

• Experience with Data Warehousing and ETL/ELT pipelines

• Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.

• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

• Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.

• Experience of working on products that impact a large customer base - an advantage.

• Excellent communication in English; written and spoken.

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.

Role Description:

As a Machine Learning Scientist, your work will focus on theandof generative AI systems. You will develop and fine-tune Judge LLMs to assess model outputs across a variety of tasks, design robust evaluation frameworks for agentic workflows, and build scalable pipelines for synthetic data generation. The team also plays a critical role in multilingual evaluation, enabling GenAI applications to support market expansion across all supported languages.

Key Job Responsibilities and Duties:

• Develop and apply state-of-the-art techniques for evaluating generative AI systems, with a focus on agent workflows, multilingual output, and task-specific Judge LLMs.

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

• Optimize and maintain Judge LLMs to assess outputs across dialog systems, Q&A, and trip planning use cases.

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

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

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

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

Qualifications & Skills:

• Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and GenerativeAI models at scale.

• Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. 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.

• Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering 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.

• 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

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.

Role Description:

As a Senior Workspace Specialist HQ you work on all topics but have your own area of expertise being, Hospitality, Events, Hard Services or Soft Services.

Key Job Responsibilities and Duties:

• Ensure all Workspace Services processes are regularly reviewed, updated, and compliant with regulations and organizational needs.

• Oversee operational supplier management, ensuring contracted services are delivered as agreed and addressing any performance issues through proper channels.

• Act as a subject matter expert and provide operational support across REWS-led projects, including implementing project outcomes and managing smaller initiatives.

• Drive demand and stakeholder management by using data insights and employee feedback to deliver continuous improvements in employee experience and business continuity. Collaborate with stakeholders, Community and Events teams, and local committees to plan, coordinate, and support inclusive social events and community-building activities within budget.

• Coordinate with security and ERO teams to maintain up-to-date safety processes and ensure effective emergency response organization and preparedness.

• Lead effective communication with HQ stakeholders, manage escalations, promote wellbeing and sustainability initiatives, and share relevant industry trends to build a positive and informed workspace culture.

• The responsibilities of this role require a strong on-site presence. Therefore, the Senior Workspace Specialist is expected to work from the office at least four days per week.

Qualifications & Skills:

• Previous experience in hard services and vendor management is required

• Effective communication skills, including clear, transparent information sharing with stakeholders.

• Strong stakeholder management and relationship-building abilities, fostering collaborative partnerships and understanding stakeholder expectations and feedback.

• Proven event planning and delivery experience, organizing inclusive community activities both in-person and virtually to connect employees and enhance workplace culture.

• Expertise in change management, supporting stakeholders through change with effective communication and targeted support. Flexibility and adaptability to navigate changing work environments and stakeholder needs, including remote and hybrid arrangements.

• Demonstrated empathy and commitment to inclusivity, ensuring a sense of belonging for remote and on-site employees across diverse groups.

• Solid analytical, problem-solving, and project management skills—using data to inform decision-making, improve employee experience initiatives, and drive continuous improvement.

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

• 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.

Role Description:

As Senior Machine Learning Engineer, you’ll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.

Key Job Responsibilities and Duties:

• Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.

• Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.

• Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.

• Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.

• Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.

• Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.

• Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

Qualifications & Skills:

• Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related field.

• Minimum of 6 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.

• Strong programming skills in languages such as Python and Java.

• Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.

• Experience with LLMs, Agents and MCP in production environments.

• Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

• Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.

• Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

• Deep understanding of machine learning algorithms, statistical models, and data structures.

• Experience in deploying large-scale language models like GPT, BERT, or similar architectures - an advantage.

• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

• Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.

• Experience of working on products that impact a large customer base - an advantage.

• Excellent communication in English; written and spoken.

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.