לוח משרות דרושים

Were 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.

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 Protect360s algorithms.

Were looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend.

What Youll Do:
Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
Develop and deploy statistical and machine learning models to production
Create scalable data pipelines and APIs that serve real-time analytics
Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
Own features end to end from statistical design and validation through deployment, monitoring, and iteration.

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

We are looking for an algorithm researcher to join our team and play a pivotal role in contributing to the company's on-going success.
What you will do:
End to end research, development and deployment of high frequency trading algorithms consisting of:
Creative thinking, performing research and literature review
Explore and design innovative and novel ideas in the fields of machine learning, statistics and signal processing
Development and application of trading algos in a highly competitive real time environment
Enjoy a very short development cycle from concept to live trading
Collaboration with other researchers / developers

Were looking for a curious, ambitious and self-motivated Product Economy Manager to join our growing Product team. As a Product Economy Manager, youll directly impact millions of our players by creating tools that enable you to balance and optimize the game's economy, resulting in fun and engaging experiences that increase retention and revenue.
Responsibilities
Design and own the user experience from an economy point of view to predict our players behavior according to the data we already have.
Build simulations and predictive models in order to proactively forecast results of content changes.
Monitor individual and macro player balances to ensure the overall health of the games economy.
Explore and design gameplay loops and the way players interact with them.
Tune content performance by devising A/B tests and analyzing their effectiveness.
Identify areas where sinks/sources should be tightened or loosened to maximize engagement, retention and revenue.
Price the games virtual currencies.
Collaborate with Product teams on balancing and designing new features that address existing deficiencies in the game.

Realize your potential by joining the leading performance-driven advertising company!
As a Team Leader on the advertiser side ML group in our TLV Office, youll play a vital role in shaping how user intent is modeled at scale and how rich behavioral data is transformed into smarter recommendations. You will lead the design and evolution of large-scale Deep Learning models that directly improve advertiser performance and marketplace efficiency. By guiding team members and driving technical direction, youll turn modeling gaps into scalable production solutions. Your work will influence how millions of users discover content and how advertisers achieve measurable impact.
How youll make an impact:
Lead the design and evolution of our companys models
Own end-to-end ML delivery in production
Lead and develop ML engineers
Translate marketplace objectives into modeling strategy
Play a part of our companys tech organizations growth in the agentic development era.

Realize your potential by joining the leading performance-driven advertising company!
As a Team Leader on the advertiser side ML group in our TLV Office, youll play a vital role in shaping how user intent is modeled at scale and how rich behavioral data is transformed into smarter recommendations. You will lead the design and evolution of large-scale Deep Learning models that directly improve advertiser performance and marketplace efficiency. By guiding team members and driving technical direction, youll turn modeling gaps into scalable production solutions. Your work will influence how millions of users discover content and how advertisers achieve measurable impact.
How youll make an impact:
Lead the design and evolution of our companys models
Own end-to-end ML delivery in production
Lead and develop ML engineers
Translate marketplace objectives into modeling strategy
Play a part of our companys tech organizations growth in the agentic development era.

We are looking for a talented AI Algorithm Developer to join us in the research and development of our next-generation automatic sports video content engine. Our team operates at the intersection of Computer Vision, NLP, and Audio analysis. We dont just use models; we build multimodal pipelines that understand sports context like a human editor would.
If you are an expert in one of these domains (NLP, CV, or Speech) and are eager to master the others to build state-of-the-art Multimodal AI - we are looking for you!
What youll do:
Research and develop end-to-end real-time solutions for sports content automation using state-of-the-art Deep Learning (LLMs, VLMs, Audio models, and Generative AI).
Collaborate with Computer Vision and Audio experts to fuse different data signals into unified models.
Combine deep language models, Generative AI, and classical ML techniques to create high-quality solutions for demanding product-oriented tasks.
Manage the full R&D cycle: from problem definition and reading papers to implementation, prompt engineering, and productization with high autonomy.
Engage in collaboration with product and success teams to convert business goals into measurable algorithmic objectives.
Write robust, production-grade Python code that scales.

Realize your potential by joining the leading performance-driven advertising company!
As a Staff Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Staff Algo Data Engineer 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.