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Required Machine Learning Scientist II - GenAI models and applications
21539
Role Description
Leadership/Team Quote:
The Content Intelligence team builds the platform that processes millions of images and texts daily, enriching our catalog with advanced machine learning models for content understanding, classification, and personalization. These capabilities power smarter recommendations, improved search experiences, and intelligent chatbots and agents that enhance customer interactions. The team also plays a key role in the AI Trip Planner, a new Generative AI-driven project transforming how travelers plan their next vacation
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 models 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.

we are looking for a Senior Software Engineer.
As a Senior Engineer on the Guardrails team, youll take ownership of our most high-leverage features: the Policy Engine and approval workflows. These aren't just features; they are the logic layer that governs how risk is accepted or blocked across the entire platform. You will build sophisticated, cross-platform systems that turn messy compliance requirements into streamlined, automated workflows, directly shaping how modern teams ship secure software.
You will join a team that is:
Redesigning Core Architecture: You will help lead the migration of our policy logic into a high-scale, event-driven data pipeline. You will move us away from legacy services toward a modern, centralized architecture capable of enriching millions of security findings in real-time.
Solving Complex Identity Challenges: You will tackle one of our hardest engineering problems: persistence and consistency. You will design systems that track software components across different branches and repositories, ensuring that risk decisions follow the code wherever it goes.
Operating at the Intersection of the Platform: This is a highly collaborative role. You will work across the stack, partner with the scanning engines, data platform, and developer tooling (CLI/IDE) teams, to ensure governance logic is unified and seamless across the entire development lifecycle.

Required Machine Learning Engineer II - GenAI Applications
26947
About the team:
This opening is for the GenAI Applications Team within the Data & AI Marketplace department.
The GenAI Applications team is responsible for designing and delivering agentic, ML-powered solutions for some of our most impactful products, including booking search experiences, trip planning, and trip helpfulness. The team builds AI-driven applications and conversational agents, such as chatbots and intelligent assistants, that significantly enhance the end-to-end customer experience.
Role Description:
As a Machine Learning Engineer, you will work closely with experienced engineers and ML scientists to build scalable, production-grade GenAI applications. Your work will focus on designing, training, and deploying ML systems leveraging LLMs,, recommendation systems, and agent-based architectures, using state-of-the-art technologies. These solutions will directly power customer-facing experiences and play a key role in shaping the future of AI-driven travel products.
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, chatbots, 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.

Required Senior Machine Learning Scientist I - GenAI Applications
26992
About the team:
This opening is for the GenAI Applications Team within the Data & AI Marketplace department.
The GenAI Applications team is responsible for designing and delivering agentic, ML-powered solutions for some of our most impactful products, including booking search experiences, trip planning, and trip helpfulness. The team builds AI-driven applications and conversational agents, such as chatbots and intelligent assistants, that significantly enhance the end-to-end customer experience.
Role Description:
As a Senior Machine Learning Scientist, you will work closely with engineers and to design, develop, and evaluate machine learning solutions for scalable, customer-facing GenAI applications. Your work will focus on researching, training, fine-tuning, and rigorously evaluating models leveraging LLMs, recommendation systems, and agent-based architectures, using state-of-the-art techniques. You will drive experimentation, define success metrics, and translate insights into impactful AI solutions that shape the future of intelligent travel products.
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 models 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.

We are seeking an experienced and driven Senior Support Engineer to join our Global Customer Support team. In this role, you will be responsible for investigating, diagnosing, and resolving complex customer issues with the Real-time Data Platform. Youll work closely with engineering, technical writers, and client services to deliver exceptional support and help customers achieve success with at scale.
What Youll Do:
Troubleshoot and resolve technical issues for customers across diverse environments (cloud, hybrid, on-prem).
Collaborate cross-functionally with Engineering to drive resolution of complex problems and contribute to product improvement.
Participate in real-time customer remediation efforts and live incident resolution.
Act as a customer advocate to ensure timely and accurate issue resolution.
Support enterprise customers with mission-critical systems and real-time data use cases.
Assist with new deployments, configuration guidance, and performance tuning.
Write and maintain high-quality documentation and Knowledge Base articles to scale support capabilities.
Contribute to a collaborative, agile, and globally distributed support team.

Required PhD Machine Learning Research Intern
27984
Role Description
About the team: The internship is open for PhD students in a machine learning related field like Planning with LLMs, Multilingual Training Adaptation, Recommender System and Ranking, Bidding, Synthetic Data Generation, Entity Representation Learning, Reinforcement learning and Classification.
Applicants are asked to attach with their CV the email address of their supervisor or co-supervisor. This email will be used to ask for a recommendation letter at a later date.
Please complete your application before March 31st, 2026. Participation in the internship program requires that you are located in Israel for the duration of the internship program (3 months)
Role Description:
As a Machine Learning Research intern at Booking.com in Tel-Aviv, you will have the opportunity to tackle real world problems by pushing the boundaries of the state-of-the-art, with the goal of publishing your work.
You will join us for a 3-month internship (preferred start date: May) focused on Data-Centric AI. In this project, you will tackle the "glass ceiling" of NLU performance: inherent ambiguity in annotation guidelines and label taxonomies. You will move beyond traditional noise reduction to investigate why human annotators disagree and how these disagreements corrupt "ground truth," directly influencing how we evaluate and improve state-of-the-art models.
Key Job Responsibilities and Duties:
Survey the Landscape: Conduct a comprehensive literature review to synthesize current approaches to data ambiguity, identifying the strengths and limitations of existing methods in handling label noise and taxonomy gaps.
Innovate & Design: Devise novel techniques and metrics to detect, quantify, and resolve inherent ambiguities within NLP datasets and annotation guidelines.
Experiment & Validate: Design and execute rigorous experiments to evaluate your proposed methods, measuring their impact on model reliability and ground truth accuracy.
Publish Findings: Summarize your conclusions and contribute to writing a research paper with the aim of submitting to a top-tier NLP conference (e.g., ACL, EMNLP).

were looking for a Senior Account Manager who wants real ownership, real impact, and a seat at the table in one of the most strategic regions in the company.
we power mission-critical, real-time applications for some of the worlds most innovative companies. From fraud prevention at PayPal to personalized user experiences at Sony, our technology sits at the core of systems that simply cannot fail. Never.
This is not a run-the-book role.
This is about leading, building, expanding, and winning.
What youll do:
Own and grow a portfolio of named strategic Digital Native customers in Israel
Drive expansions, upsell renewals,and cross-sell within complex top notch digital natives accounts
Build trusted relationships across all levels, from engineers to executives
Act as the quarterback for your accounts, working closely with Product, Engineering, Support and Marketing
Clearly articulate unique value and translate deep technology into business impact
Maintain strong customer engagement while qualifying and advancing opportunities
Provide actionable field insights back to Sales Leadership and Product teams
Own forecasting, pipeline and opportunity management in Salesforce

we are looking for a technically sharp, customer-focused Solutions Architect to help drive adoption of our blazing-fast real-time data platform. In this high-impact role, youll partner closely with our sales team to win business by translating complex technical capabilities into clear, compelling value for our customers.
Based in Israel, youll serve as the technical expert and strategic advisor throughout the sales process - from discovery to demo to deployment. Whether its architecting a high-scale solution, answering in-depth questions, or running a proof of concept, your expertise will be key to helping customers realize the power .
This is a pre-sales position.
Responsibilities:
Preparing and developing technical presentations to explain our company's products or services to customers.
Discussing equipment needs and system requirements with customers and engineers.
Collaborating with sales teams to understand customer requirements and provide sales support.
Researching, developing, and identifying modifying products to meet customers' technical requirements and needs.
Soliciting and logging client feedback and evaluating the data to create new sales and marketing strategies to target customers.
Identifying areas for improvement and communicating these issues as well as possible solutions to upper management, including product managers.
Setting and achieving sales goals and quotas.
Training other members of the sales team on the technical aspects of the company's products and services.

Required Machine Learning Scientist II - GenAI Evaluation
20717
Role Description:
As a Machine Learning Scientist, your work will focus on the evaluation and optimization of 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.

We are looking for an experienced Senior Product Manager to join the Product Management team and focus on expanding our AI platform to develop new use cases and applications for automakers, smart mobility vendors, insurance companies and additional new markets.
As a Product Manager you will join a dynamic and fast-paced environment, reporting directly to our VP Product and work closely with a team of passionate employees.
This role is full-time and is based in Herzliya, Israel, in a hybrid model.
Responsibilities
Gain a deep understanding of customer and market needs
Translate product strategy into product roadmap, detailed requirements and prototypes
Scope and prioritize activities based on business and customer impact
Work closely with the research, data analytics, data engineering, and data science departments to develop core detection capabilities
Work closely with engineering teams to deliver with quick time-to-market and optimal resources
Drive product launches including working with Sales, CSMs, Marketing, R&D with prioritized features and corresponding justification
Drive market and competitive analysis for their product
Support developing the core positioning and messaging of the product
Lead sales enablement activities on product positioning, messaging and new releases and developing sales tools and collateral
Create a plan and engage with potential and existing customers to gather ongoing feedback and requirements.

We are looking for a tech-driven, creative, and hands-on product marketing professional to join the Marketing team. This role will report to the VP of Marketing and will be the leading stakeholder of all our strategic marketing programs, sales enablement, messaging and positioning, as well as collaboration on marketing activities with tech partners.
You will work closely with multiple teams within (product, sales, CSM, delivery, alliances, etc,), as well as partners, customers and prospects, to deepen our thought leadership and expand brand awareness by creating effective sales assets, webinars, partner-driven programs, press releases, targeted outreach and email programs, and media opportunities.
The ideal candidate will be an excellent English communicator, creative with brilliant technological skills.
This role is full-time and is Herzliya, Israel based.
Responsibilities
Become a subject matter expert in data management focusing on the Automotive and Smart Mobility ecosystem; develop unique expertise in the cybersecurity challenges, attack vectors, competitive landscape and well as additional data-driven use cases.
Support our global sales teams in delivering the most effective messaging and positioning, based on deep market and go-to-market expertise.
Initiate and execute (end-to-end) strategic marketing programs, primarily thought leadership, tech-oriented webinars and partners-related opportunities (including related collateral and nurturing programs).
Join our evangelist team - represent us in webinars, interviews and speaking engagements, as well as moderate our own webinars.
Manage our media relations, working closely with PR partners, our tech alliances, and internal evangelists to boost brand exposure.
Craft strategic content to support our marketing programs, such as tech-focused videos, in depth interviews, podcasts, etc.

We are looking for an experienced Marketing Operations Manager to join our Marketing team and build strategies to fuel our qualified lead pipelines, engagement, and brand awareness for our solutions.
The ideal candidate will have a deep understanding and hands-on experience of the digital marketing and automation landscape and a proven track record in scaling startups. We are big Hubspot fans!
In this role you will be tasked with building strategies for email marketing and nurturing campaigns, build complex workflows for lead funnels and scoring, intent scoring, marketing programs tracking, advanced analytics and more. The goal is to ensure our marketing processes are visible, optimized and effective, and provide the best possible support for our global sales teams.
This role is full-time and is based in Herzliya, Israel.
Responsibilities
Develop and implement a detailed marketing automation strategy to increase qualified leads, as well as build effective scoring and intent indications across various marketing programs.
Drive the development and execution of targeted account-based marketing strategies, primarily via email marketing, encompassing account list development, targeted marketing tactics, and effective measurement of results.
Manage our company's website, including managing the website developers and designers, and continuously optimize to ensure optimal visibility and engagement.
Drive success by developing and creating advanced analytics capabilities and to monitor campaign performance, effectiveness, online engagement, awareness, and more.
Work closely with our BDR team and sales executives worldwide to collaborate on marketing and campaigns, analytics and reporting and ensure we meet our goals.
Collaborate with our internal security teams to ensure all our digital assets and content are secure.
Build a strong foundation across the entire team and foster a culture of collaboration, creativity, and continuous improvement.

We are looking for an experienced Machine Learning Engineer to build and scale production-grade ML solutions, primarily on large-scale tabular automotive data for quality and cybersecurity products. Youll help define the engineering standards that enable the Data Science team to deliver at scale, with opportunities to own selected ML features end-to-end.
Youll work with massive (often live-streaming) automotive datasets and real-world constraints around latency, CPU, memory, and I/O. This is a highly collaborative role, and youll partner closely with data science and data engineering teams. Youll be driving technical alignment through clear communication and mentoring others via design and code reviews.
This role is full-time and based in Herzliya, Israel.
Responsibilities
Act as the DS engineering axis: drive designs with focus on performance (I/O, CPU, memory, latency, cost).
Lead heavy ML engineering efforts when needed (optimization, scaling, reliability), while collaborating with other team members and supporting them in their ML-related projects.
Own selected ML features and projects end-to-end, including DS work (EDA, features, modeling, evaluation) plus production delivery, monitoring and iteration.
Build production tabular - ML components: training, batch/near-real-time scoring, inference services, and shared libraries.
Set standards and tooling for profiling and preventing performance regressions.
Partner with the data engineers on data / ML contracts (schemas, SLAs, formats/partitioning) between pipelines and ML components.
Raise the bar via mentoring, documentation, and a strong code/design review culture, in the Data Science team.

We are looking for a Quant Algorithms Developer to join our research team and play a pivotal role in contributing to the company's ongoing success
What you will do:
End-to-end development and deployment of high-frequency trading algorithms consisting of:
Creative thinking, performing research and literature review
Conceiving innovative and novel ideas in the fields of machine learning, statistics, and signal processing
Development and application of trading algos in a highly competitive real-time environment
Collaboration with other researchers/developers

Required Senior Data Engineer
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. Our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data scientists, data architects, and data analysts, to provide solutions using a use case-based approach that drives the construction of technical data flows.