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We are looking for a senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.
What will you do?
As a Senior Data Scientist, your mission will be to:
Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the activities.
Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
Implement your algorithms and models end to end.
Collaborate with a variety of teams to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we always use the best class algorithms according to the context.
Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across our global publisher network.
What will you bring to the team?
Experience in Statistics (i.e. statistical analysis, regression analysis, ) and/or Artificial Intelligence (i.e. Data Mining, Machine Learning, ).
An appetite for Data Science applied to high-volumetry, low-latency topics.
Ability to read scientific articles, to analyze critically, and to implement as appropriate.
Good programming abilities.
True scientist skills: fast learner, curious, sense of details, rigorous.
Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly to a wide audience of complicated topics.
Strong problem solving skills, and deducing from specific problems wider range products.
You are very mindful about your application architecture, performance, testing and maintainability and its overall quality.

Required Senior DevOps Engineer
Our main Engineering challenges
Build efficient and easy-to-use web products used by thousands of users working for the worlds most premium publishers, advertisers, and agencies.
Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others.
Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
Bring a wide diversity of profiles to the same level of quality and knowledge
Work in an international environment with offices located in Israel, Slovenia and France.
Build the Core Platforms That serves hundreds Engineers
Our global Managed Platform team is hiring, and we're looking for a Senior DevOps Engineer to help us tame complexity at scale. We are a distributed group, with team members in the US, France, Russia, Slovenia, and Israel, operating as the central nervous system for engineering.
We build, own, and manage the "as-a-service" platforms that all our developers rely on. This includes our entire observability stack, our massive online data storage systems, and the SRE tools and practices that keep our services reliable.
We operate a complex, high-traffic environment built on Kubernetes and managed via GitOps (ArgoCD & FluxCD). If you love building robust, automated, and self-service systems for other engineers, this is the role for you.
What will you do?
As a Senior DevOps Engineer, you will:
Own Core Data Platforms: Design, manage, and scale our diverse portfolio of datastores, including Cassandra, RDS/Aurora, Redis, Elasticsearch, and more.
Evolve Observability: Champion and advance our observability stack (Prometheus/Thanos, Grafana & ELK) to provide critical, real-time insights for hundreds of services.
Strengthen Reliability (SRE): Drive SRE best practices, including automating disaster recovery drills, managing our alerting strategy (AlertC), and improving system-wide resilience.
Modernize CI/CD: Help administer and optimize our CI/CD infrastructure, which includes Jenkins, Teamcity, and GitHub Actions.
Automate Everything: Leverage our Kubernetes and GitOps (ArgoCD/Flux) foundation to manage infrastructure as code, enhance developer self-service, and eliminate toil.
Collaborate & Consult: Act as a subject matter expert, partnering with development teams to help them choose, implement, and operate their data and observability solutions effectively.

Required Software Engineer - Finance Solutions
The Finance Solutions team is a growing team that builds and owns products supporting the company's financial processes for internal users, customers (advertisers), and partners (publishers). Our core mission is to make finance operations simpler, more efficient, accurate, and trustworthy by continuously identifying and resolving pain points through automation, system integrations, and the use of AI.
What will you do?
As a Software Engineer on the Finance Solutions team, you will take full ownership of a project lifecycle, from analyzing requirements, designing a solution, building, deploying and providing long-term support. Your contributions will directly impact the daily operations of dozens of internal users and thousands of external customers and partners. Success in this role requires a strong sense of ownership, commitment to delivering results, creativity in problem-solving, collaboration, and agility.
Your mission will be to:
Design, build, and ship finance-related features across our complex and diverse ecosystem.
This includes backend/data-oriented features, UI development, and building data pipelines, reports, and dashboards.
Develop solutions that involve integrating with various CRM and ERP systems.
Work closely with internal users to gather feedback, increase solution adoption, and provide long-term operational support.
Champion software quality through robust testing and mentor junior engineers by sharing best practices and code review.
Collaborate effectively with a diverse, international team split between France and Israel.
Operate within an Agile environment that promotes sustainable processes, open communication, and regular virtual socials to maintain team connection.

Required Senior Software Engineer - Finance Solutions
What will you do?
As a Senior Software Engineer on the Finance Solutions team, you will take full ownership of a project lifecycle, from analyzing requirements, designing a solution, building, deploying and providing long-term support. Your contributions will directly impact the daily operations of dozens of internal users and thousands of external customers and partners. Success in this role requires a strong sense of ownership, commitment to delivering results, creativity in problem-solving, collaboration, and agility.
We are looking for a motivated engineer who will be interested and ready to step into a team lead role in the near future based on performance and departmental growth.
Your mission will be to:
Design, build, and ship finance-related features across our complex and diverse ecosystem.
This includes backend/data-oriented features, UI development, and building data pipelines, reports, and dashboards.
Develop solutions that involve integrating with various CRM and ERP systems.
Work closely with internal users to gather feedback, increase solution adoption, and provide long-term operational support.
Champion software quality through robust testing and mentor junior engineers by sharing best practices and code review.
Collaborate effectively with a diverse, international team split between France and Israel.
Operate within an Agile environment that promotes sustainable processes, open communication, and regular virtual socials to maintain team connection.

We are looking for a Senior Data Scientist to join a team of applied research.
The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers.
The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B.
Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes.
What will you do?
As a Senior Data Scientist, your mission will be to:
Innovate at Scale: Stay at the forefront of AdTech research, focusing on CTR prediction, online learning regimes, and high-dimensional embeddings.
Bridge Research & Engineering: Collaborate with cross-functional teams to identify research gaps and translate them into production-ready features.
Own the Lifecycle: Lead the end-to-end process-from reading the latest ArXiv papers to A/B testing and monitoring model performance in a live environment.
Experiment Freely: Dedicate time to "deep-work" sessions, testing unconventional hypotheses and new algorithmic approaches.

Required Data Engineer - Finance Solutions
The Finance Solutions team is a growing team that builds and owns products supporting the company's financial processes for internal users, customers (advertisers), and partners (publishers). Our core mission is to make finance operations simpler, more efficient, accurate, and trustworthy by continuously identifying and resolving pain points through automation, system integrations, and the use of AI. Our team operates in a truly international and heterogeneous environment, with members and partners split between Israel, France, UK and NY.
What will you do?
As a Data Engineer, you will be the backbone of our data-driven financial operations. You will focus on building and maintaining the infrastructure that turns raw financial data into actionable insights. You will serve as a technical liaison between engineering and business stakeholders to translate analytics requirements into scalable data solutions.
Collaborate with colleagues (engineering, product managers and finance) to understand data requirements and deliver data solutions.
Design, build, and maintain data models that are scalable, extendable and easy to use by other teams.
Design, build, and maintain scalable and reliable data pipelines to collect, process, and store data from various data sources.
Implement data quality checks and monitoring to ensure data accuracy and integrity.
Create and maintain dashboards and reports that provide visibility into key financial metrics like revenue, usage, and cost.

We are seeking an experienced Help Desk Team Leader to join our global Information Technology team, supporting our 600 employees in Israel and other offices across Asia. Based out of our headquarters office in Netanya, Israel and reporting to the Head of IT, we are looking for a manager who is a solution-driven problem solver that can balance corporate demands within a fast paced environment.
We are looking for a candidate who is resourceful, bright, proactive, a go-getter who works well independently and as part of a team and is passionate about what she or he does. The candidate should be an energetic self-starter who enjoys working on operational tasks, proactive in delivering the best possible customer experience in a dynamic environment.
What will you do?
The Help Desk Team Leader will lead our Help Desk team while constantly being hands-on: maintaining our servers, Cloud infrastructure, network and desktop infrastructure throughout our locations in Israel and Asia. As the Help Desk Team Leader on the ground in Israel, the successful candidate must be a self-starter with the confidence and experience to provide day-to-day operational support, take ownership of all the IT services in our locations, lead strategic IT projects and interact with the different departments and stakeholders to identify and implement new technology solutions.
Your first six months will look like this:
In your first few weeks you will be introduced to our IT Infrastructure and Tools, learn how to support the end users, maintain the networking environment and collaborate with other team members across the department.
Learn the Israel and APAC network topologies, Procurement processes and regions specific needs

we are looking for a QA and Automation Engineer.

We are seeking a Data Engineer to join our growing data team to design, build, and maintain data pipelines and infrastructure. You will work on distributed systems, orchestration frameworks, cloud environments, and modern data technologies to ensure that data flows reliably and efficiently across the organization.
Key Responsibilities:
Optimize processes for scalability and efficiency in distributed environments.
Ensure data quality, integrity, and performance across workflows.
Work with cloud-native solutions and containerized environments (Docker/Kubernetes).
Implement and manage orchestration frameworks (Airflow/Dagster/etc.).
Collaborate with cross-functional teams to support business and research needs.
Develop and enforce CI/CD processes and data testing frameworks (pytest, GE, or similar).
Monitor, troubleshoot, and continuously improve pipeline reliability and performance.