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We are seeking a skilled Data/ Backend Engineer to design and implement complex, high-scale systems that retrieve, process, and analyze data from the digital world. This role involves developing and maintaining backend infrastructure, creating robust data pipelines, and ensuring the seamless operation of data-driven products and services.
Key Responsibilities:
- Design and build high-scale systems and services to support data infrastructure and production systems.
- Develop and maintain data processing pipelines using technologies such as PySpark, Hadoop, and Databricks.
- Implement dockerized high-performance microservices and manage their deployment.
- Monitor and debug backend systems and data pipelines to identify and resolve bottlenecks and failures.
- Work collaboratively with data scientists, analysts, and other engineers to develop and maintain data-driven solutions.
- Ensure data is ingested correctly from various sources and is processed efficiently.

We are looking for a Data Engineer to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves constructing and maintaining scalable data pipelines, developing and integrating machine learning models, and ensuring data integrity and efficiency. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities:
Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data scientists and analysts.
Optimize and maintain end-to-end data pipelines using big data technologies to ensure efficiency and performance.
Monitor data pipelines to ensure data integrity and promptly troubleshoot any issues that arise.

Required Data Scientist Team Manager
A day-to-day role as a Team Manager 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 groups 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.

We are looking for a Data Scientist with deep experience in the advertising industry to join a team of passionate engineers who build advertising solutions at world scale. 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:
Stay on top of the state-of-the-art science and technology of large scale advertising systems
Areas of interest are models for CTR and CVR, on-line learning regimes, cold start, efficient and effective embeddings for users, ads and similar, ad matching, two tower architecture, ad match, ad ranking, etc.
Work with teams of data scientists and machine learning engineers to identify investment opportunities
Help the teams implementing the solutions - on multiple projects as an advisor and on projects you select as a part of the implementation team where you will be expected to participate in bringing new projects to production environment
Work with product managers to find data science and AI projects with best cost/benefit risk/reward ratios
Spend time experimenting with new approaches by yourself
Follow industrial and academic research, occasionally publish at conferences

Were seeking a Data Tech Lead to drive technical excellence in data engineering and analytics. As the go-to expert, youll set the technical direction, optimize data pipelines, and tackle programming challengesclosing knowledge gaps, solving data-related questions, and streamlining operations. Youll also design scalable architectures, manage ETL workflows, and enhance data processing efficiency.
Key Responsibilities:
Oversee the technical aspects of data projects by making architectural and design decisions.
Streamline existing operations and implement improvements with the teams collaboration.
Guiding team members in technical matters, and supervising system modifications.
Conducting Code reviews for data analysts, BI Analysts and data engineers.
Bridge technical knowledge gaps within the data team, answering critical product-related questions.

we are a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we empower bookmakers to grow, innovate, and stay ahead of the game.
If youre passionate about sports and technology and want to make your mark in a fast-moving industry, don't miss this chance! Step onto the field with us and help build the future of sports data We are looking for a talented Senior Data Engineer.
What Youll Do:
Building a robust data collection and measurement infrastructure for the department and linked products
Taking ownership of major projects from inception to deployment.
Implementing a systematic approach for saving and managing scraper data.
Enabling efficient data access for support teams
Architecting simple yet flexible solutions and then scaling them as we grow.
Establishing a strong data framework to support the department and linked products future developments
Collaborating with cross-functional teams to ensure data integrity, security, and optimal performance across various systems and applications.
Staying current with emerging technologies and industry trends to recommend and implement innovative solutions that enhance data infrastructure and capabilities.

Required Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Data Engineer on the IT production team in our TLV Office, youll play a vital role impacting billions of users, work with petabytes of data in extreme scale and make a difference, send us your resume. Or In other words, If you like: Database performance tuning, Doing it at scale, Building tools that will help you do it Using AI to make it legendary this is the place for you.
It Would Be Great If You Also Have:
In-depth Linux system knowledge
Vertica/HBase/Cassandra/Elastic Experience
Hands-on experience with NoSQL databases
Working experience with queuing systems, preferably Kafka
Experience in web facing environments
How Youll Make An Impact, As a Data Engineer , youll bring value by:
Advise on the optimal database design by analyzing application behavior and business requirements
Design data flow processes
Work with AI at scale on developing high impact solutions
Proactively monitor and optimize database queries, processes, tables and resources
Initiate and lead cross-group optimization processes
Write utilities and design dashboards that will help us maintain, monitor and optimize the production database environment and data pipeline
Develop automation tools for large cluster maintenance
Face challenges such as scale, visibility and automation
Be involved in both development and infrastructure projects
Our Tech Stack
Vertica, MySQL, Hbase, HDFS, Kafka, Spark, Cassandra, BigQuery, Iceberg, ElasticSearch, Grafana.

Required Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Data Engineer on our Business Analytics & Business Intelligence Group in Tel Aviv Office, youll play a vital role on all aspects of the data, from ETL processes to optimizing our Business data models and infrastructure.
How youll make an impact:
As a Data Engineer, youll bring value by:
Have end to end ownership: Design, develop, deploy, measure and maintain our Business data infrastructure, ensuring high availability, high scalability and efficient resource utilization.
Lead the BI Engineering domain, including mentoring BI Engineers, establishing best practices, and driving BI engineering strategy.
Automate data workflows to streamline processes, reducing manual efforts and improving accuracy of our BI infrastructure..
Collaborate with other departments (e.g., IT/Data, R&D, Product, IS) to ensure seamless integration of BI tools with other systems and data models.
Work closely with the BI Development team to develop, maintain, and automate operational and executive-level reports and dashboards that offer actionable insights.
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our data pipelines.
Excellent communication and collaboration skills to work across teams.

Required Data Infra Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Data Infra Engineer on the IT production team in our TLV Office, youll play a vital role impacting billions of users, work with petabytes of data in extreme scale and make a difference, send us your resume. Or In other words, If you like: Database performance tuning, Doing it at scale, Building tools that will help you do it Using AI to make it legendary, this is the place for you.
How Youll Make An Impact, As a Data Infra Engineer , youll bring value by:
Advise on the optimal database design by analyzing application behavior and business requirements
Design data flow processes
Work with AI at scale on developing high impact solutions
Proactively monitor and optimize database queries, processes, tables and resources
Initiate and lead cross-group optimization processes
Write utilities and design dashboards that will help us maintain, monitor and optimize the production database environment and data pipeline
Develop automation tools for large cluster maintenance
Face challenges such as scale, visibility and automation
Be involved in both development and infrastructure projects
Our Tech Stack
Vertica, MySQL, Hbase, HDFS, Kafka, Spark, Cassandra, BigQuery, Iceberg, ElasticSearch, Grafana.

Required Data Performance Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Data Performance Engineer on the IT production team in our TLV Office, youll play a vital role impacting billions of users, work with petabytes of data in extreme scale and make a difference, send us your resume. Or In other words, If you like: Database performance tuning, Doing it at scale, Building tools that will help you do it Using AI to make it legendary, this is the place for you.
How Youll Make An Impact, As a Data Performance Engineer , youll bring value by:
Advise on the optimal database design by analyzing application behavior and business requirements
Design data flow processes
Work with AI at scale on developing high impact solutions
Proactively monitor and optimize database queries, processes, tables and resources
Initiate and lead cross-group optimization processes
Write utilities and design dashboards that will help us maintain, monitor and optimize the production database environment and data pipeline
Develop automation tools for large cluster maintenance
Face challenges such as scale, visibility and automation
Be involved in both development and infrastructure projects
Our Tech Stack
Vertica, MySQL, Hbase, HDFS, Kafka, Spark, Cassandra, BigQuery, Iceberg, ElasticSearch, Grafana.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Required Senior Data Scientist
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Data Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior Data Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

Required Senior GenAI Machine Learning Engineer/Scientist
Realize your potential by joining the leading performance-driven advertising company!
As a Senior GenAI Machine Learning Engineer / Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue.
How youll make an impact:
As a Senior GenAI Machine Learning Engineer, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them.
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue.
Work on a daily basis with some of the hottest trends in todays job market: LLMs, big data analytics/engineering and cloud computing.
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet.
Work on projects such as DeeperDive, LLM Personalization, Feed Personalization, Personalized Image and text generation and much more
Our tech stack:
Python, Java, Langfuse, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

The Detection Team is looking for a Senior Data Scientist to join our Static AI team.
The Static AI team develops state-of-the-art ML models that operate on millions of machines across the world, to make sub-second decisions to stop malware before it runs.
The team brings together cross-functional skill sets including data science, ML engineering, and software engineering, to research, develop, ship, and support ML malware detection engines across Windows, Mac, and Linux machines and cloud environments.

What will you do?
Design and deliver innovative ML-based detection engines.
Research new approaches to AI/ML and work with your peers to integrate the most promising advancements in ML into our product.
Build analytics systems that learn from a wide variety of internal and external data sources to improve our existing ML models and create new ones.

We are looking for a Applied AI Team Lead.
As the Team Lead for our Applied AI team, you will join our Tel Aviv office. You will guide the day‑to‑day execution of innovative projects to help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the VP of Data Science, you will combine hands‑on technical leadership with people management skills, overseeing a team with rapidly-growing portfolio of mission-critical projects and collaborating with product, engineering, and other internal partners. Youll be responsible for leading every aspect of the development process, so that our cutting‑edge AI and data science capabilities get to production quickly, reliably, and with maximum impact.
Day to Day:
Lead a 5‑person team of data scientists and engineers, coordinating stand‑ups, code reviews, and 1‑on‑1s while also contributing hands-on to high-priority projects.
Oversee the development and implementation of a diverse project portfolio, focused on both customer-facing product features and internal business use cases.
Scope, execute, and deliver end‑to‑end AI and data science capabilities to meet the requirements of product owners and internal stakeholders.
Play a leading role in the development of AI-focused infrastructure and the implementation of best practices for engineering and data science.
Track project risks, dependencies, and costs, and make proactive adjustments to keep initiatives on time and aligned with requirements.
Stay current with the latest developments in AI technologies and tools, and identify opportunities to integrate the latest innovations into our products and workflows.
Recruit, onboard, and develop team members to help scale our Applied AI program and promote a culture of technical excellence.
Work an in‑person or hybrid schedule, with at least three days per week in our Tel Aviv office.