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We are searching for an innovative Backend Engineer that will join us and be part of a SW team responsible of the full life cycle development of several web key applications including technical and statistical research, design, coding and integration.
This role will require you to move fast and deliver great products, you will be part of a smart, motivated, creative team of people who are filled with positive energy targeting to bring the best solutions to the finish line.
In this role youll :
Deliver scalable features to support our vision in a timely and quality manner
Building cutting-edge technologies that make a powerful impact on data-driven systems
Tackle tough problems and find creative ways to solve them
Produce (a lot) of high-quality, functional code that is readable, testable and maintainable
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Be the owner of your domain to ensure code quality, performance, and scalability of our products

We are searching for an innovative and experienced Data Engineer that will join us and be part of our new data initiatives team in our data group.
As a Data Engineer, you will:
Be a part of a cross functional team of data, backend and DevOps engineers.
Be responsible for ingesting large volumes of new data, followed by deep understanding and inspection of the data in close collaboration with data scientists.
Lead the architecture, planning, design and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.

We are searching for an innovative Senior Software Engineer that will join us and be part of a SW team responsible of the full life cycle development of several web key applications including technical and statistical research, design, coding and integration.
you will play a pivotal role in spearheading a transformative project aimed at replacing a monolithic software architecture with a more scalable and flexible microservices architecture.
You will be an important part of leading the technological aspects of the project
This role will require you to lead the redesign of an important product , you will move fast and help deliver a state of the art products, you will be part of a smart, motivated, creative team of people who are filled with positive energy targeting to bring the best solutions to the finish line.
In this role youll :
Deliver scalable features to support our vision in a timely and quality manner
Building cutting-edge technologies that make a powerful impact on big amount of instances
Tackle tough problems and find creative ways to solve them
Produce (a lot) of high-quality, functional code that is readable, testable and maintainable
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Be the owner of your domain to ensure code quality, performance, and scalability of our products
Manage and complete tasks using TDD, continuous integration and modern development processes

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 Finals financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL/Signal Processing/Data Mining to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize Finals Algorithms

Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We are the leading provider of obstacle detection & classification systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and deep learning, Rail Vision systems detect objects on and along the tracks from up to 2 kilometers away, in real-time, and in all weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analyzed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We’re looking for a brilliant Deep Learning & Computer Vision engineer to join our Algorithms group What will you do?
* Be a senior researcher of the core deep learning algorithms and communicate with other researcher.
* Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

Advantages:

* Familiar with Electro optics devices (Thermal cameras, lenses, etc.)
* Experience working in multidisciplinary environments
* Experience in the automotive industry

We are a leading mobile games company with a strong presence in the gaming industry. Our games are played by millions of users worldwide, and we strive to provide the best gaming experience through cutting-edge technology and innovative gameplay. We are seeking a highly skilled and experienced Data Engineering Director to lead our data engineering department and drive our data infrastructure to support internal data applications, analytics, data science models, and the games themselves. This is an exciting opportunity to join a dynamic and fast-paced environment at the forefront of mobile gaming.
Responsibilities
Lead and manage a team of data engineers, data product managers and QA, providing guidance, mentorship, and performance management.
Develop and execute the data engineering strategy to support internal data applications, analytics, data science models, and games features.
Collaborate with product managers, data scientists, and analysts to understand data requirements and design robust data solutions.
Oversee the design, development, and maintenance of scalable and high-performance data pipelines and ETL processes.
Implement and optimize data storage, retrieval, and processing systems for large volumes of data in real-time environments.
Evaluate and implement advanced open-source tools and technologies to improve the efficiency and effectiveness of the data engineering team.
Ensure data quality, data integrity, and data governance standards are maintained throughout the data infrastructure.
Monitor and troubleshoot data infrastructure performance and reliability issues, ensuring timely resolution.
Stay up-to-date with the latest trends and advancements in data engineering, big data technologies, and industry best practices.
Collaborate with cross-functional teams, including engineering, operations, and business stakeholders, to align data engineering initiatives with organizational goals and priorities.

We are looking for an experienced manager who can bring deep applied science expertise and a proven track record of shipping at-scale AI-enabled intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI.
As an Applied Science Manager in MSAI you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Research, Turing and various product groups. You will work as part of an organization that brings together talent in the areas of large language models, deep learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products.
Responsibilities:
Manage an innovative applied science team in the area of Large Language Models, Artificial Intelligence, Machine Learning and Deep Learning.
Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning.
Develop and deploy conversational and language understanding models at scale.
Push the boundaries of AI platforms through innovation and partnership.
Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
Support hiring, coaching, mentoring and career development of Applied Scientists to build an inclusive and ambitious applied science team.
Collaborate closely with our Research, Turing, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
Communicate internally and externally through publication, presentations, and other media (e.g., blogs, press interviews) on research progress, major breakthroughs, and product innovation.