לוח משרות דרושים מדעים מדוייקים משרה מלאה, לחיפוש זה נמצאו 515 משרות

Required Algorithm Engineer (RTB)
As an Algorithm Engineer on the Algorithms team in our Tel Aviv office, youll play a vital role in building machine learning models that power real-time bidding and optimize billions of daily auctions. Youll 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, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.
How youll 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.

We are looking for an Algorithms Developer to join the CTO Office and develop and evaluate new AI and algorithmic capabilities as part of early-stage R&D. The role combines hands-on algorithm development, rapid prototyping, and technical evaluation, from exploring new ideas and testing solutions to defining requirements for further development. Projects span areas such as image processing, computer vision, edge AI, LLM-based applications, and emerging technologies.
Responsibilities:

* Develop AI and algorithmic solutions for early-stage R&D projects.
* Translate project needs into algorithmic concepts, requirements, and technical solutions.
* Build and TEST prototypes to evaluate feasibility and performance.
* Define performance, interfaces, and computing requirements.
* Optimize solutions for compute, memory, power, and latency constraints.
* Evaluate relevant models, frameworks, hardware platforms, and emerging technologies.
* Translate R&D results into clear requirements and recommendations for development teams.
Advantages:

* Experience deploying AI or algorithms on edge or Embedded platforms.
* Experience with NVIDIA, CUDA, TensorRT, ONNX, or similar technologies.
* Experience optimizing algorithms for compute, memory, power, or latency.
* Experience with satellite imagery, remote sensing, geospatial applications, mapping, or photogrammetry.
* Experience with LLM-based applications and modern AI frameworks.
* Experience in R&D, advanced development, or deep-tech environments.

Required Senior Algorithm Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior ML Engineer on the Matchmaking and Marketplace R&D unit in our Tel Aviv office, youll play a vital role in building machine learning models that power our real-time auctioneer and optimize billions of daily auctions. Youll design and evolve large-scale ML solutions that drive advertiser bids and expected outcomes for advertisers, publishers and the company itself. Working at the intersection of machine learning, data, and engineering, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.
How youll make an impact:
Design, train, and deploy machine learning models for CTR/CVR/value prediction
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.

Required Senior Algorithm Engineer (RTB)
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algorithm Engineer on the Algorithms team in our Tel Aviv office, youll play a vital role in building machine learning models that power real-time bidding and optimize billions of daily auctions. Youll 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, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.
How youll 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.

We are looking for an experienced backend developer to join our core backend team and help take our system to its next level.

As a backend developer, you will work alongside a team of highly curious and innovative professionals. You will be responsible for developing core services and solutions that process high volumes of real-time traffic under tight latency budgets. The role involves complex problem-solving, a broad view of the entire system, and a deep understanding of how we ingest and process traffic at scale.

We are currently seeking applicants for a Process Engineer. You will be responsible for designing, evaluating, and optimizing production processes to improve efficiency, reduce waste and cost, and ensure product quality.
Job Location:
Beer Sheva is the capital of the Negev, located in Southern Israel.
The factory in Beer Sheva was established in 1996 in the Emek Sarah industrial area and has over 1,000 employees.
What you will be doing:
To develop and implement production processes in line with product specifications and quality standards.
To identify and analyze process issues and recommend improvements to increase efficiency and reduce waste.
To create and maintain production documentation, such as standard operating procedures and work instructions.
To collaborate with other departments, such as Manufacturing, Quality Assurance, and Research and Development, to ensure smooth production processes.
To monitor and evaluate production processes to identify opportunities for improvement and implement solutions.
To train and mentor production and maintenance teams on new processes and equipment.

As a Game Designer, you will play a pivotal role in crafting the future of our iLottery and iGaming eInstant games portfolio. Were looking for a creative individual who can combine a passion for gaming with practical design skills to deliver solutions that make a real impact on players.


What you'll do


Lead the full lifecycle of multiple games-from conceptualization through launch and live operations
Define product vision, positioning, and success metrics for each title
Drive execution while maintaining high quality and commercial excellence standards
Define and evolve core game mechanics
Partner with mathematicians, designers, and studios to develop compelling, competitive iLottery game experiences
Apply deep understanding of player psychology, monetization levers, and retention dynamics
Continuously set the standard on innovation and differentiation in the portfolio
Take full accountability for game performance metrics (engagement, retention, monetization)
Analyze data and player behavior to drive continuous improvements and scaling strategies
Function as a senior ally to game studios, guiding creative and production directions
Ensure games meet regulatory and responsible gaming requirements across jurisdictions

Join an innovative technology company developing an AI-powered computer vision platform with real-world impact. In this role, you'll lead the design, development, and deployment of advanced AI and computer vision algorithms, taking solutions from research to production while working closely with multidisciplinary engineering teams.

Responsibilities

Design, train, and deploy deep learning models for computer vision applications.
Develop algorithms for object detection, segmentation, tracking, and behavior analysis.
Build and optimize real-time AI solutions for edge and cloud environments.
Research, evaluate, and integrate state-of-the-art AI and computer vision technologies.
Monitor, debug, and continuously improve production ML systems.
Collaborate with Software, Product, QA, and multidisciplinary engineering teams, while mentoring other engineers.

This role is focused on hardware and system integration-not algorithms or optics. We are looking for someone who enjoys working with sensors, cameras, interfaces, suppliers, debugging, and bringing complex systems from concept to a reliable product.



Responsibilities

Select and evaluate hardware components for electro-optical systems.
Analyze datasheets, ICDs, application notes, and technical specifications.
Work directly with suppliers on technical evaluations, integration requirements, and component selection.
Integrate cameras, sensors, and peripherals with embedded/edge computing platforms (e.g., NVIDIA Jetson).
Support hardware bring-up, system integration, testing, and debugging.
Troubleshoot issues related to hardware, power, communications, drivers, cabling, thermal performance, and system stability.
Define and execute component-level and system-level validation tests.
Maintain BOMs, wiring diagrams, integration documentation, and test procedures.
Support transition from prototype to production and field deployment.

Our unique research team is expanding, 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 our 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 our Algorithms.

We are looking for a Software Engineer specializing in ML Systems Engineering to join Finals Development department.

While vision and language models have become increasingly commoditized, Finals proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.

This is a pivotal role within Finals engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.