Data Scientist jobs in Israel

AppsFlyer is a cutting-edge technology company that specializes in mobile attribution and marketing analytics. We run at a massive scale- t any given moment thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests and communicating on a massive scale. Fueled by the AppsFlyer platform, Protect360 is the leading anti-fraud solution in the market, protecting advertisers from fraudulent traffic and saving millions of dollars for our customers. We detect fraudulent traffic (fake installs and attribution hijacking attempts) in real time using machine learning, deep learning, and advanced AI techniques applied on massive data streams. We’re looking for a data scientist to join our team and further improve fraud detection capabilities. This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats. A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more What you'll do • Mine massive data sets to uncover fraud patterns and prevention opportunities. • Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity. • Translate business and product needs into scientific, explainable, and high-impact solutions. • Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production. • Collaborate closely with product, engineering, and business teams to drive data-driven decisions. • Stay current with AI and ML research and evaluate new technologies to strengthen Protect360’s algorithms. What you have • M.Sc in Computer Science, Mathematics, Statistics, Engineering or a related field • 5+ years of experience in applied Data Science or Algorithmic Development, preferably in large-scale production environments. • Hands-on experience in training and fine-tuning machine learning, deep learning, and AI models • Strong programming skills in Python and proficiency in SQL. • Solid understanding of data pipelines, MLOps practices, and working with huge datasets. • Ability to mentor, collaborate, and communicate complex ideas clearly to diverse audiences. • A fast learner, problem solver, and end-to-end owner with a strong “can-do” approach. Bonus Points • Experience in the ad-tech industry or with fraud detection systems. • Familiarity with LLMs, generative AI, or representation learning for anomaly detection. • Proven track record working with large-scale distributed data systems. • Being introduced by an AppsFlyer employee As a global company operating from 20 offices worldwide, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners. “As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Minimum Qualifications • 5+ years of experience in applied Data Science and AI engineering with significant hands-on work building LLM-based applications or AI agents. • Deep practical experience with LLMs (prompt engineering, fine-tuning, model selection, and understanding trade-offs across providers and model families). • Hands-on experience building Autonomous Agent architectures (e.g., LangGraph, multi-agent workflows, tool-calling, and state machines) and implementing rigorous evaluation frameworks (Evals, LLM-as-a-judge, benchmark suites). • Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch) with the ability to deliver production-ready code. • An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience. Preferred Qualifications • Experience in cybersecurity (cloud security, threat detection, investigation, or network telemetry). • Experience with distributed cloud systems and hands-on familiarity with cloud-native architectures at scale. • Strong knowledge of deep learning models and common model architecture such as transformer models. • Excellent communication (both written and verbal) and presentation skills. • Ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems. About The Job We’re looking for an Applied Data Scientist Expert to join us and spread the power of Wiz. As a Data Scientist you will be responsible for driving research and development of autonomous AI agents and LLM-powered systems at Wiz. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats, examine cloud security features, and enhance the company’s security posture. Responsibilities • Lead applied research on AI agents and LLM-driven features in the Wiz platform - from autonomous threat investigation agents to AI-powered security operations workflows. Cover a range of features, from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security. • Collaborate with engineering teams to design, build, and maintain production pipelines. • Work closely with the Security Research and Product teams to define research goals. • Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments. • Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people. A day-to-day role as a Team Manager at Similarweb includes: • Managing a multidisciplinary team of data engineers, data scientists, and data analysts. • Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning. • Collaborating closely with data extraction, platform, and product teams. • Communicating with business stakeholders and gathering feedback from customers. • Hiring new team members and developing the group’s structure. • Playing a crucial role in shaping product strategy within a startup-like environment. Day-to-day, the team you will lead will: • Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights. • Own end-to-end data processes and pipelines, from research and proof of concept to production. • Collaborate with product and R&D teams to plan and deliver best-in-class digital insights. • Design, validate, and monitor ongoing processes to ensure quality and reliability. • Identify, analyze, and monitor new raw data sources as needed. Ideal candidate profile: • Passionate about data and problem-solving. • Holds an M.Sc. or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or a related field. • Has 3+ years of experience developing machine learning and statistical algorithms in a production environment. • Brings 1+ years of people management experience - Must • Strong experience with Big Data and ML production pipelines (a strong advantage). • Familiarity with the web, internet, app, or online industry (an advantage). • Excellent interpersonal communication skills. About the R&D team As part of our R&D team at Similarweb, you'll have the opportunity to work on challenging algorithmic problems with no play book solution, solve problems for real customers, and work alongside the best engineers and scientists in the industry. Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. LI-SS #LI-Hybrid We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people. We’re looking for a Data Scientist to join our R&D department! Why is this role so important at Similarweb? Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business. As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions As a data scientist in Similarweb, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights. So, what will you be doing all day? Your daily responsibilities may include: • Working on versatile use cases within a dynamic, fast paced production environment • Strategic thinking and problem solving, with a strong business sense • Analyzing data from various sources, and turning it into usable input • Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights • Initiating newly defined tasks from exploration to proof of concept • Owning the finalization of defined tasks (from POC to deployment in production) • Collaborating with data engineers to make sure we reach the desired production results • Owning the ongoing validation process for existing metrics • Collaborating and brainstorming best practices with other teams within the R&D department • Deploying machine-learning models into production for an ongoing use This is the perfect job for someone who: • Holds a M.Sc in Computer Science/Mathematics/Physics or any other relevant field - Required • Has 3+ years of experience with statistical and machine learning tools - Python, R, etc. • Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models • Has previous experience developing machine learning/ image processing/NLP or similar algorithms • Demonstrated experience utilizing probability theory and statistics • Experience with Big Data tools and cloud infrastructure; PySpark, AWS (big advantage) • Strong analytical skills; experience analyzing and processing tabular data, and extracting insights (big advantage) Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

NVIDIA is looking for a Data Analytics Manager to join our Software Architecture team. We turn data from AI factories into insights that shape architecture decisions and improve cluster performance, reliability, and efficiency. You will lead our analytics team and own internal initiatives from identifying user needs through delivery and adoption. A central focus will be building and deploying AI agents for analytics—enabling architects and engineers to explore data, investigate sophisticated questions, and act on trusted findings. We seek a leader who combines analytical depth, product judgment, and the ability to turn ideas into capabilities people use. What you’ll be doing: • Hire, mentor, and lead an analytics team, setting technical direction, priorities, and standards for analytical quality. • Partner with architects, engineering, and cluster operations to define critical questions and lead analyses that explain system behavior, uncover bottlenecks, and quantify architectural tradeoffs. • Own the roadmap for internal analytics initiatives, translating user needs into requirements, priorities, and measurable outcomes, and driving delivery and adoption. • Lead the development, evaluation, and deployment of AI agents for data exploration, analytical reasoning, and automated investigation, contributing hands-on as needed. • Deliver reusable analytical capabilities, intuitive tools, and dashboards that support engineering and operational decisions. • Partner with data engineering to ensure the data coverage, quality, and context needed for reliable analysis and effective AI agents. What we need to see: • BSc./MSc. in a relevant technical field or equivalent experience. • 8+ overall years in data analytics or related technical roles • 4+ years leading and developing a team. • Strong hands-on expertise in SQL, Python, and distributed data platforms. • Experience building AI-powered analytical tools or agents, with methods for validating their accuracy and reliability. • Demonstrable ability in framing ambiguous problems, validating findings, and driving technical initiatives from requirements through delivery and adoption. • Excellent communication and prioritization skills, with the ability to align stakeholders across domains and influence decisions through evidence. Ways to stand out from the crowd: • Experience analyzing GPU-cluster telemetry, infrastructure performance, or reliability. • Experience in technical product management or ownership of internal data products. • Familiarity with semantic data models that connect infrastructure entities, telemetry, and operational context. • Experience deploying agents that combine data queries, statistical analysis, and domain knowledge, with demonstrated impact on users’ work. We offer competitive compensation and a comprehensive benefits package, with benefits varying by location. You’ll work alongside architects and engineers tackling complex challenges in AI infrastructure, with the opportunity to build a team and shape how we use AI and data to design better systems. We’d love to hear from you! NVIDIA is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to providing reasonable accommodations for candidates with disabilities throughout the application and interview process. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.

At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts is a true pioneer, constantly pushing the boundaries with original research and technological innovation. JFrog is a special place with a unique combination of brilliance, spirit, and just all-around great people. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software”. Wouldn't it be amazing if you could join us on our journey? We're looking for an experienced Data Scientist to join our DS team under the CIO office. The key responsibilities are to provide our internal business partners with robust, reliable, and innovative AI / ML / DS solutions for their business problems, providing direct value to the business. An ideal candidate blends solid data science foundations, proven backend engineering skills, and a demonstrated track record building real-world systems. You should be able to take an idea (or propose one) and independently work from POC to production MVP, know when to move fast and when to slow down, while continuously communicating with stakeholders as their trusted partner, and enjoy collaborating with members of the team. As a Data Scientist at JFrog you will... • Listen to our business stakeholders and their challenges and propose data-driven solutions to problems using ML models and advanced statistical methods. For example, a classifier for a rare event that will trigger business action, or a time series predictor in a noisy environment that will affect business planning. • Work side-by-side with business units to gather requirements, collaborate with cross-functional teams, iterate on the process of data research, and deliver to production. • Own ML models full lifecycle and monitor existing models, while continuously improving our automation pipeline from a DS perspective. • Rapidly prototype new ideas (e.g., custom RAG-based solutions, Agentic processes, knowledge graphs) based on applied research or academic concepts, and if successful, productionize. • Be a primary contributor for the semantic engine component of the organizational brain platform and be able to serve as a technical authority in that domain. • Look for improvement and innovation opportunities with business impact, and be a source of high-quality ideas. • Be an independent contributor with excellent communication skills, both in writing and verbally. To be a Data Scientist at JFrog you need… • MSc. in computer science or equivalent quantitative field (e.g., Mathematics, Statistics, Engineering, Economics), with a focus on Machine Learning. • At least 5 years of proven industry experience in DS/ML roles, with a proven record of developing ML models from initiation to production. • Strong foundations in data science and machine learning, including how to evaluate model outputs & performances. • Ability to think scientifically and investigate problems using messy, ambiguous, or incomplete data and communicate results clearly and efficiently. • Proficient hands-on experience with the Python ML/DL ecosystem. • Hands-on experience in implementing and evaluating custom RAG systems with a deep understanding of how they work, how to evaluate their performance, and how to improve them. • Ability to serve as a technical expert for RAG and complex agentic workflows such as deep research and wide search (almost complete recall, high precision, high scale, low latency, low cost). • Proficient hands-on experience with databases. • Experience in Time-Series forecasting. • Proven ability to work independently; delivery-oriented. • Team player with effective interpersonal skills. Manage relationships with key partners across different functions. Able to collaborate with remote teams effectively. • Excellent spoken and written English. •

Job Description Armis from ServiceNow, protects the entire attack surface and manages an organization’s cyber risk exposure in real time. Combined with ServiceNow’s Security and Risk capabilities, as well as Identity Security capabilities from Veza, we bring together all critical capabilities to secure every asset, every identity - incl. AI Agents - across all environments with the right level of context - security, operational and business - to build the first of its kind autonomous defense platform for the Agentic Enterprise. As an AI-driven cybersecurity company, Machine Learning and Generative AI power the core capabilities that make Armis an industry leader. Our algorithms are the engine behind our advanced Vulnerability Management, Detection, and Remediation (VMDR) platform. We are looking for a Staff Data Scientist with strong Machine Learning foundations and practical enterprise experience to join the VMDR team. In this role, you will act as a technical builder owning complex problem domains end-to-end, diving deep into cybersecurity nuances, and architecting cutting-edge LLM and ML solutions from initial research all the way to scalable production deployment. What You’ll Do • End-to-End Ownership: Drive complex AI and ML initiatives through the full product lifecycle from early-stage prototyping and deep domain analysis to production-grade deployment and monitoring. • Architect & Deploy: Design and build production-ready AI models and system pipelines in Python using modern cloud and big data infrastructure (AWS, Spark). • LLM Innovation: Integrate state-of-the-art Generative AI and LLM workflows directly into our core VMDR features to drive automated detection, prioritization, and remediation insights. • Domain Deep-Dives: Partner closely with domain researchers, data engineers, and product leaders to dive into granular cybersecurity data and translate complex security problems into high-impact AI solutions. Qualifications To be successful in this role you have: • Cybersecurity Background: Domain experience in cybersecurity (specifically Vulnerability Management, Asset Intelligence, or Threat Detection) is a big advantage, but not mandatory. • LLM Expertise: At least 2 years of hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, RAG, agentic workflows, and orchestration frameworks (e.g., LangChain, LlamaIndex, vLLM, or similar). • Solid ML Foundations: Deep algorithmic and theoretical knowledge in Machine Learning, supported by an Academic Degree (M.Sc. or Ph.D. preferred) or equivalent research experience. • Production Engineering Skills: 5+ years of software development experience, with strong, production-grade Python coding abilities and experience deploying ML systems at scale. • Self-Driven & Collaborative: An autodidact who naturally takes full ownership of problem domains, stays ahead of emerging AI trends, and thrives in a high-trust, collaborative team environment. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Job Description As a Staff Data Scientist at ServiceNow, you’ll play a highly embedded and influential role within our Data Science organisation, partnering closely with Development and Product teams across multiple products within ITOM. Rather than simply responding to predefined requirements, you’ll bring your own creativity, domain expertise, and ideas to identify opportunities, challenge assumptions, and solve complex problems using real customer data. What you get to do in this role: • Lead the development and evolution of advanced data science and machine learning capabilities, including noise reduction, anomaly detection, root cause analysis, and new AI-powered product features. • Own complex data science problems end-to-end, from problem definition and ideation through experimentation, model development, evaluation, productionization, and deployment. • Develop advanced algorithms and models using techniques such as machine learning, deep learning, NLP, anomaly detection, and statistical modeling. • Partner closely with Product, Engineering, Quality, and Architects to translate product requirements into scalable, reliable ML solutions. • Drive technical direction and mentor other data scientists, contributing to best practices in modeling, experimentation, evaluation, and ML engineering. • Stay current with advances in AI/ML and identify opportunities to apply emerging technologies to ServiceNow products. Qualifications To be successful in this role you have: • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. • 6+ years of experience in data science, machine learning, algorithm development, or a related field. • Advanced expertise in at least one area such as anomaly detection, machine learning, deep learning/neural networks, NLP, or statistical modeling. • Proven experience leading complex data science or machine learning problems from ideation to production. • Strong Python skills and hands-on experience with modern data science and ML frameworks. • Experience working with large and complex datasets, developing evaluation methodologies, and defining metrics for ML models and data-driven products. • Practical experience with modern AI/ML techniques, including LLMs and/or generative AI. • Strong technical leadership, problem-solving, communication, and cross-functional collaboration skills. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis. Medtronic’s Surgical Operating Unit is a new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With the Medtronic Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients. Make your impact by exploring a career with the world’s leading Medical Device company, striving “to alleviate pain, restore health, and extend life.” Join a growing Algorithm team at the forefront of AI innovation in real-time medical interventional procedures. In this role, you will tackle complex technical challenges, shape solutions with meaningful clinical impact, and help define the next generation of intelligent medical technologies. You will be part of an innovation-driven environment that encourages curiosity, bold thinking, and continuous learning, while working alongside talented and supportive people who are committed to both professional excellence and personal growth. Together, you will contribute to technology that has the potential to make a real difference in patients’ lives. Responsibilities may include the following and other duties may be assigned: • Lead a team of high-performing researchers to develop innovative algorithmic solutions that support and advance our medical device from the fields of Machine Learning, Computer Vision, and Image Processing • Represent the algorithm team in global forums and communicate ongoing progress, key results, risks, and challenges to global stakeholders • Lead the algorithm development lifecycle: research, design, implement, validate, document and optimize algorithms for our products • Provide technical direction and mentorship to algorithm developers; conduct design/code reviews and ensure best practices and high-quality deliverables • Partner with Data, Software, Systems, Clinical, and Product teams to define requirements, plan milestones, manage risks, and drive end-to-end delivery from prototyping to production Required Knowledge and Experience: • MSc. or PhD in Computer Science/Software Engineering/EE/other relevant field - MUST • Proficiency and proven experience in developing, optimizing, validating, and deploying machine learning algorithms, deep learning techniques, and AI models to production • Passion for continuous learning and staying updated on AI advancements and trends • 7+ years of R&D experience (algorithms / ML), including ownership of end-to-end delivery • Proven leadership experience (team lead / tech lead), including mentoring, prioritization, and driving execution across multiple stakeholders • 3+ years of hands-on experience in Python (ability to lead by example with production-quality code) • Team player with very strong leadership and communication skills; able to influence and align across R&D and cross-functional stakeholders • Structured problem solver with sound technical judgment and data-driven decision making • High ownership: able to plan, prioritize, and drive tasks end-to-end while unblocking others and managing risks Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.  Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP). About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity here

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary As a Senior Staff Data Scientist at CyberArk, you’ll join a team shaping the future of identity security and pioneering research in areas of cybersecurity and Agentic AI. Advance your data science career by applying your established expertise to solve complex, real-world problems at scale and drive innovation alongside leaders in the cybersecurity and AI space. Research, design, Evaluate and production deployment of advanced AI/ML models, specializing in LLMs, RAG systems, and Agentic AI applications. Explore and analyze large-scale datasets to uncover patterns and drive actionable insights. Collaborate closely with product managers, engineers, and analysts to support feature development and validate ML ideas. Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges. Grow your skills in classic machine learning, deep learning, natural language processing (NLP), LLMs and cybersecurity applications. Qualifications Qualifications • 5+ years of hands-on experience as a Data Scientist, with proven ability in designing, building, and deploying solutions utilizing LLMs, RAG, or other Agentic AI frameworks. • Msc degree from a university in Computer Science, Statistics, Mathematics, Engineering, Data Science or related field, with a thesis on Data Science. GPA above 85. • Solid understanding of machine learning fundamentals and a strong grasp of data structures, algorithms, and probability. • Demonstrated independent research capabilities and a self-driven approach to learning and problem-solving. • Passion for solving meaningful problems and eagerness to learn in a fast-paced, collaborative environment. • Strong communication skills and ability to explain technical concepts to different audiences. Additional information • Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) or NLP libraries (e.g., Hugging Face). • Experience working with cloud platforms (e.g., AWS, GCP) or distributed data tools (e.g., Spark). • Knowledge or interest in cybersecurity - a big plus! Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary We are seeking a Senior / Principal Security Researcher to join our innovative Security ML Team. Sitting at the forefront of endpoint protection, our team solves complex security challenges by applying advanced Deep Learning techniques, including resource-efficient Small Language Models (SLMs) and specialized ML algorithms to massive datasets, delivering groundbreaking security solutions directly into production. In this role, you will serve as the core security domain expert within a multidisciplinary team of Researchers and Data Scientists. Working directly with complex malware behaviors, static file attributes, and massive telemetry, you will translate deep security insights into actionable datasets, automated rule-generation pipelines, and advanced feature sets. Beyond classical security analysis, your research will directly drive, evaluate, and refine the AI models and detection logic that protect millions of endpoints worldwide, making this an ideal role for a security expert looking to apply data-driven methodologies and broaden their technical arsenal with AI/ML. If you are a forward-thinking Security Researcher eager to autonomously drive high-impact research and shape the next generation of intelligent security modeling, we want to hear from you. Key Responsibilities • Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers. • Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach. • Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders. • Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment. Qualifications Required Qualifications • 6+ years of hands-on experience delivering production-grade data science and machine learning solutions. • Proven experience with deep learning and transformer-based models, including model design, training, optimization, and evaluation. • Strong Python proficiency with solid working knowledge of SQL. • Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a related field. • Deep expertise in probability, statistics, and machine learning, with the ability to select, adapt, and apply advanced algorithms to real-world problems. • Demonstrated ownership of end-to-end research POCs, from problem formulation and experimental design to implementation, analysis, and actionable recommendations. • Strong focus on engineering-quality, production-ready code, with high standards for reliability, scalability, and maintainability. • Excellent communication skills, with the ability to translate complex technical insights into clear explanations for both technical and business stakeholders. Preferred Qualifications • Background in the cybersecurity domain, with focus on endpoint security • Experience working with big data platforms (e.g., GCP). • Familiarity with cloud-native architectures and services for data processing. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary As a Data Scientist, you will apply your expertise in software engineering, LLM agents, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, Agentic LLM-based security solutions that block attacks before they begin. Join our innovative team to shape the future of cybersecurity and impact millions of customers. Important: this role requires a unique combination of hands-on software engineering skills as well as previous experience with designing and delivering LLM-driven products. Key Responsibilities • Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers. • Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach. • Design and implement agentic LLM solutions to face modern cybersecurity challenges. • Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders. • Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment. Qualifications Required Qualifications • Natural scientific curiosity and ability to handle complex problems. • At least 2 years of experience in hands-on Agentic LLM projects. This includes experience with the common agentic frameworks (e.g., LangChain, LangGraph), with emphasis on algorithmic design, large-scale deployment and monitoring. • At least 4 years of experience as a software engineer with high proficiency in python and at least good familiarity with SQL. • Deep understanding of probability, statistics, and machine learning models with a proven track record of selecting, modifying, and applying advanced algorithms to solve practical problems. • Demonstrated ability to run end-to-end research POCs, from conceptualization to solutions, including designing, executing, analyzing, and concluding research methodologies and outcomes. • Good communication skills, with the ability to convey complex research findings clearly and effectively to both technical and business audiences. Preferred Qualifications • Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a related field. • Background in the cybersecurity domain. • Hands-on experience with open-source generative libraries (e.g., Hugging Face). • Experience working with big data platforms (e.g., GCP). • Familiarity with cloud-native architectures and services for data processing. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

About Payoneer Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories. By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. Senior Data Scientist – AI & ML Hybrid Full-time Role Summary You’ll be one of the founding data scientists on our brand-new ML team, building Payoneer’s AI and data science capabilities from the ground up. Working closely with the Tech Lead, you’ll develop and deploy models across payments, risk and customer analytics, and build the frameworks that evaluate our GenAI and LLM-based agents. You’ll set the modeling standards, technical practices and culture the team will scale on, and help hire the data scientists who come next. It’s a great fit if you’re excited to build something new and own it end to end. What You’ll Do • Build evaluation frameworks for GenAI and LLM agents – golden datasets, LLM-as-judge, and quality, safety and compliance monitoring • Own the full ML model lifecycle, from research and experimentation through production deployment and monitoring • Design and deploy ML models that solve complex business problems across payments, risk and customer analytics • Work with the Tech Lead to define core modeling methodologies, analytical standards and research practices • Set up the team’s approach to feature engineering, model validation, experimentation, A/B testing and performance monitoring • Lead exploratory research to uncover insights, identify ML opportunities and evaluate new techniques • Partner with business stakeholders to translate problems into data science solutions and communicate findings clearly • Shape the team’s culture and documentation standards, and help interview, onboard and mentor new data scientists Who You Are • 5+ years of experience in Machine Learning, Data Science or a related technical role • Proven track record of building and deploying ML models in production environments • GenAI/LLM evaluation experience – benchmark datasets, LLM-as-judge or human-in-the-loop evaluation, and monitoring of RAG and agent systems • Strong proficiency in Python and SQL, and in ML frameworks such as TensorFlow, PyTorch and Scikit-learn • Experience with cloud platforms (AWS, GCP or Azure) and MLOps tools and practices • Technology leadership – a history of making tech stack decisions and establishing development practices that scale • Excellent communication skills, with the ability to explain technical concepts and influence technical decisions • Entrepreneurial, self-starter mindset – excited to build from scratch and comfortable with ambiguity and ownership • Sc. or M.Sc. in Computer Science, AI, Data Science, Mathematics or a related quantitative field • Experience in fintech or financial services – an advantage The Payoneer Ways of Working Act as our customer’s partner on the inside Learning what they need and creating what will help them go further. Do it. Own it. Being fearlessly accountable in everything we do. Continuously improve Always striving for a higher standard than our last. Build each other up Helping each other grow, as professionals and people. If this sounds like a business, a community, and a mission you want to be part of, apply today. We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.

Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a Staff Data Scientist, you will be tasked with developing and deploying innovative solutions that enhance our customers' security. You will play a crucial role in our cyber defense efforts. You will leverage data science expertise to identify and mitigate cyber threats, developing, training, and deploying sophisticated analytical models to ensure the robust protection of our customers. You will also collaborate with our security researchers, providing model-driven insights to uncover emerging threats. What Will You Do? Primary responsibilities include: • You will work closely with diverse teams, including detection engineers, threat hunters, cybersecurity researchers, and data engineers. Your contributions will translate into innovative, real-world solutions that directly enhance our security posture. If you are driven by impact and cutting-edge challenges, this opportunity is for you. • Prepare for significant challenges and meaningful impact. You will not just solve problems, you will address complex, real-world cyber scenarios, directly contributing to the safety and security of our global customer base. • You will join a team of leading industry experts, gaining access to unique, proprietary data - an essential resource for solving the most intricate cybersecurity puzzles. This role offers the chance to lead and innovate on pivotal projects that will advance our threat detection and threat hunting capabilities. • At SentinelOne, you will be a vital contributor to the future of cybersecurity. You will collaborate with some of the finest minds in the industry to overcome extraordinary challenges. Join us in shaping the next generation of cyber protection! What Skills and Knowledge Will You Bring? Ideal candidates will have: • 5+ years of experience in data science, machine learning, and statistical modeling • Strong programming skills in Python. • Specific experience in PyTorch or equivalent • Excellent communication skills, with the ability to clearly present and explain complex models (specifically neural networks) to technical and non-technical stakeholders • Interest in cybersecurity and understanding of the threat landscape Why SentinelOne? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards • Restricted Stock Units (RSUs) • Employee Stock Purchase Plan (ESPP) Time Off & Wellbeing • Competitive leave benefits • Gender-neutral parental leave • Employee Assistant Program • Workout sessions and a Wellness App Insurance & Financial Security • Medical and insurance benefits • Pension • Employee Assistance Program (EAP) Work Perks & Flexibility • Global home office allowance • Mobile phone reimbursement • Study Fund SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles. To learn more about how we use AI in our hiring process, please review our AI in Hiring Candidate Disclosure.

Realize your potential by joining the leading performance-driven advertising company! As an Algorithm Engineer on the Algorithms team in our Tel Aviv office, you’ll play a vital role in building machine learning models that power real-time bidding and optimize billions of daily auctions. You’ll design and evolve large-scale ML solutions that drive bid optimization, price prediction, win-rate prediction, and auction strategy. Working at the intersection of machine learning, data, and engineering, you’ll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency. To thrive in this role, you'll need: • 4+ years of experience building machine learning and deep learning solutions end-to-end, from research and experimentation through production. • MSc or PhD in Computer Science, Mathematics, Engineering, Statistics, or a related field, with strong foundations in machine learning, optimization, and statistical modeling. • Experience building machine learning solutions for real-time bidding (RTB), programmatic advertising, pricing, or other large-scale optimization problems. • Strong software engineering skills in Python or Java, with experience developing production ML systems. • Proven ability to take machine learning models from prototype to scalable, high-performance production environments. Bonus points if you have: • Experience building machine learning models for bid optimization, auction systems, pricing, or large-scale recommendation systems. • Experience using AI coding tools (such as Claude Code or Cursor) to accelerate development, experimentation, and code quality. How you'll make an impact: • Design, train, and deploy machine learning models for bid optimization, price prediction, win-rate prediction, CTR/CVR estimation, calibration, and auction optimization. • Own the full machine learning lifecycle, from research and prototyping through production deployment, A/B testing, monitoring, and optimization. • Build and evolve large-scale ML models serving low-latency, high-throughput production traffic. • Analyze auction and marketplace data to identify modeling opportunities and translate insights into measurable business impact. • Partner with Product, Engineering, and Business teams to translate marketplace goals into scalable machine learning solutions. • Mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations. Why Taboola? If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about: • Adam Singolda, Taboola Founder and CEO: “You can copy anything from another business but you can’t copy a company’s culture.” • Well-being: Competitive benefits and well-being programs tailored to the region, including comprehensive health benefits, a fully stocked kitchen, and location-specific perks. • Flexibility: We offer a hybrid work schedule with 3 days in-office, with an option to come in more often if desired. • Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia. Ready to realize your potential? Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need. Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog. About Taboola Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale. #LI-DN1 #LI-Hybrid