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Required Staff Algo Data Engineer
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.
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 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
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

we are looking for a Senior VLSI Verification Engineer to join the ride as we spearhead the next revolution in electronics!
Position location: in our Haifa or TLV offices, at least 2 working days at Haifa site (Hybrid model)
Responsibilities
Develop and maintain advanced verification environments using SystemVerilog and UVM, ensuring scalability, configurability, and reusability across multiple IPs.
Design, implement, and execute comprehensive testbenches and random test suites to validate functional correctness, robustness, and corner-case behavior of complex IP within various SoC integration environments.
Drive coverage closure by defining, collecting, and analyzing code and functional coverage metrics; identify verification gaps and ensure complete validation of feature sets prior to sign-off.
Lead debug and root-cause analysis efforts in collaboration with senior verification and design engineers, leveraging carefully crafted logs, waveform analysis and assertions to isolate and resolve design or environment issues.
Collaborate closely with architecture, design, and firmware teams to ensure verification completeness, alignment with design intent, and seamless integration at the system level.
Contribute to methodology and infrastructure improvements, including reusable UVM components, automation scripts, and best practices that enhance team efficiency and verification quality.

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 Algorithm Engineer
Realize your potential by joining the leading performance-driven advertising company!
As an Algorithm Engineer, 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 an Algorithm 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: 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.

we are seeking for a Verification engineer. We are seeking a highly skilled Verification engineer to join a Processor Verification team working on nextgeneration processor cores. In this role, you will take a key part in verifying critical processor blocks, collaborating closely with architecture and design teams to ensure functional correctness. You will own verification activities endtoend from TEST planning and environment development to execution, coverage analysis, and closure- using advanced verification methodologies.

We are seeking a dynamic Field Service Engineer to join our team , playing a critical role in advancing our renewable energy solutions. As a Field Service Engineer, you will contribute significantly to the future of various renewable energy products and solutions, serving as an interface between our customers.



Ideal Candidate:

The ideal candidate will have a background as a practical Electrical Engineer or Electrical Engineer with a valid electrical license and comprehensive understanding of AC/DC, Low/Medium Voltage systems, networking and system controls. Proficiency in both Hebrew and English languages at a minimum of C1 level is required. The role will require on-call duty and the ability to oversee critical customer situations. Experience with Battery Storage solutions is highly beneficial, and a valid driving license is essential due to frequent travel requirements.





Responsibilities:

Serve as the primary interface between customers taking ownership of dispatched customer issues across various renewable energy solutions.
Provide comprehensive service and customer support during field visits or dispatches, running diagnosis on errors or technical problems.
Deliver on-site installation, repair, maintenance, testing tasks, upgrades, or rework activities for diverse renewable energy products.
Provide remote support to clients as needed.
Leading projects during commissioning and site acceptance services for various renewable energy solutions.
Adhere to operational procedures, processes, and practices consistently, ensuring compliance.
Follow applicable health and safety instructions and regulations for various renewable energy installations and services.
Maintain updated documentation, work instructions, and processes for existing and upcoming service contracts and agreements, including reports creation.

Were growing fast, and our team is passionate about pushing AI engineering to new heights - solving complex problems in LLM training, inference optimization, reasoning, and agent orchestration at scale.
About the Role:
As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code models-optimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.

we are looking for a Senior Data Analyst.
As a Data Analyst you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep a data driven company.
You will play a key role in the ability of each team to keep scaling!
How your day is going to look, what you will be doing?
- Helping each team to take decisions based on data by:
Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights
Define and implement KPIs across different teams
Accompany product features from tech design to feature performance
Translate product/business requirements to analytical logics, and create a very clear visualization which "tells the story" using a BI tool or other platform.

we are the next generation of multiplayer gaming uniting people around the gaming world in the most realistic way, face to face. At our company, you will be an essential part of the thinking and decision-making process behind our new product. As our Senior Game Economy Manager youll design and manage the in-game economy, track player experiences, and leverage behavioral insights, mathematical models, simulations, and data analysis to optimize KPIs and maximize player fun. (We work from our office in Tel-Aviv- not hybrid)


Responsibilities:


* Design, monitor, balance and lead the economy model and User Experience from an economy point of view to drive players' engagement and improvements in game KPIs
* Partnering closely with Product, LiveOps, Design, Analytics and Monetization to align strategy and execution.
* Model and balance complex systems in the game to maintain a healthy and growing in-game economy
* Control the pricing in the game - both for in-game currencies and real money
* Recommend and design reward systems and monetization features that fulfill player needs while meeting business goals.
* Perform data analysis and AB testing in order to always improve the game performance
* Monitor important in-game economic KPIs and maintain a balanced economy
#LI-Onsite

Required Senior Formal Verification Engineer (Contractor)
Role Description
This is a full-time on-site role for a Formal Verification Engineer in Petah Tikva, Israel.
The Formal Verification Engineer will be responsible for developing and implementing formal verification environments, writing and applying verification plans, and conducting formal property verification. Additional tasks include analyzing coverage results, debugging, working with design engineers to resolve issues, and reporting outcomes to ensure the accuracy and efficiency of the designs.

we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets.
As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize Algorithms

The Actuarial Department at our company is seeking a Financial Modeling Analyst to join a professional team that provides actuarial audit and advisory services to leading financial institutions in the market.
Our department works closely with public companies, banks, credit card companies, pension funds, and insurance firms, operating at the core of their economic and regulatory decision-making processes.
Key Responsibilities
Build, run, and analyze financial and actuarial models
Work with diverse databases, including developing and executing data controls
Create and maintain KPI reports and analytical deliverables
Collaborate with internal data servers and organizational information systems
Manage analytical tasks end-to-end while meeting deadlines
Work independently as well as in a team within a dynamic, challenging environment.