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We are looking for a highly capable and experienced Computational Geometry Expert for developing and implementing advanced computational geometry solutions for metrology challenges in our CTO group.

Responsibilities:
We develop metrology products for the semiconductor industry, allowing measurement of the device geometry (transistors, memory devices etc.) with sub-nanometer accuracy as well as material properties. The ever-shrinking dimensions of devices require a corresponding development of new and improved metrology technologies, which is the responsibility of the CTO group.

What you will be doing:
Play a key role in improving and expanding our Computational Geometry capabilities, from idea inception to implementation and maintenance. Some of the relevant projects will involve technologies in preliminary stages, and the candidate is expected to join the team in proposing new Computational Geometry directions and approaches for research.

We are looking for a AI Product Manager.
As an AI Product Manager, you will lead the development of our AI-powered credit & equity investment platform. You will coordinate between R&D and business needs, show leadership in dynamic environments making sure innovation meets execution. With an analytical mind and people-oriented approach, you will practice technical expertise and business acumen. If you are passionate about data, AI, finance and you are ready to revolutionize capital markets, we want you on board.
Responsibilities:
Own the product lifecycle end-to-end, from ideation to execution and beyond.
Define the vision and roadmap for your products, aligning with organizational goals.
Partner with R&D, Data Science and Business to ensure seamless, high-quality, and timely product releases.
Write detailed requirements and specifications, ensuring alignment with business needs while driving agile development cycles.
Gather and analyze user feedback, stakeholder input, and market trends to inform product features and enhancements.

We are offering you to take a vital role in our research team that is responsible for constantly driving forward our ability to detect accessibility issues, enhancing the intelligence of our platform to provide customers with insights and usability enhancements that allow them to work more efficiently, and building innovative new products

To achieve those ends the team employs classic algorithms, data analysis, machine learning and generative AI.

You will be joining a team of highly professional and innovative engineers and scientists that are driven by passion for the domain and the mission of the company. We value scientific and engineering excellence, are committed to creating high impact products that reach our customers and work in collaboration with each other in an egoless environment.

Your Impact:
Research, design and implement new detection algorithms for web accessibility issues and improve existing ones.
Ensure all research is well documented and reproducible.
Build and enhance tools that enable data collection, labeling and analysis at scale for research purposes.
Integrate new models and algorithms into existing products.
Build interfaces for projects in the POC phase to enable demonstration and the collection of feedback from internal users and select design partners.

Were based in Tel Aviv, 5 minutes from Hashalom train station, and Yehudit light train station, and we have our own parking lot. We work in a hybrid mode, with flexible working hours.

We are offering you to take a vital role in our research team that is responsible for constantly driving forward our ability to detect accessibility issues, enhancing the intelligence of our platform to provide customers with insights and usability enhancements that allow them to work more efficiently, and building innovative new products

To achieve those ends the team employs classic algorithms, data analysis, machine learning and generative AI.

You will be joining a team of highly professional and innovative engineers and scientists that are driven by passion for the domain and the mission of the company. We value scientific and engineering excellence, are committed to creating high impact products that reach our customers and work in collaboration with each other in an egoless environment.

Your Impact:
Research, design and implement new detection algorithms for web accessibility issues and improve existing ones.
Ensure all research is well documented and reproducible.
Build and enhance tools that enable data collection, labeling and analysis at scale for research purposes.
Integrate new models and algorithms into existing products.
Build interfaces for projects in the POC phase to enable demonstration and the collection of feedback from internal users and select design partners.

Were based in Tel Aviv, 5 minutes from Hashalom train station, and Yehudit light train station, and we have our own parking lot. We work in a hybrid mode, with flexible working hours.

As a Backend Engineer, youll join our R&D center in Tel Aviv as part of the Infrastructure Development team. In this role, youll contribute to the scalability, reliability, and production quality of our infrastructure and software, ensuring robust support for our ride-sharing services. Youll also develop cloud-based tools that empower our dispatch operators and drivers to manage real-time shared rides at a massive scale seamlessly.

What You'll Do:
Own the design and development of scalable, reliable, and efficient systems to strengthen our technological foundation and proactively address growing stability and performance demands.
Establish infrastructure standards for dev teams, with a focus on observability.
Design, implement, and develop centralized infrastructure and data pipelines.
Develop infrastructure libraries that power hundreds of our microservices.
Create and maintain self-service tools through a service lifecycle, including CI/CD automation, templates using GitLab, Jenkins Scripts and Terraform Modules to streamline developer workflows and empower teams to deploy with confidence.
Develop a comprehensive understanding of our applications and architecture, ensuring alignment with infrastructure goals.
Collaborate actively as a team player, with a solution-oriented mindset and a commitment to enabling the success of the broader engineering organization.
Bring forward innovative ideas, take ownership of project timelines and deliverables, and drive scalability efforts.

As an Algo Engineer, youll join our R&D center in TLV as part of the Algo Engineering group, which is responsible for the infrastructure and engineering that supports our various algorithms that run in production on our live servers. The position requires deep knowledge of software engineering methodologies and modern infrastructure tools. You will maintain and improve current algo infrastructure, as well as develop new technical products and systems that support the various needs we have here. If youre a developer by heart and enjoy working on large-scale cloud infrastructure systems in an algorithms oriented hands-on environment, this position might be just for you!

What You'll Do:
Take full ownership of large scale cloud-based infrastructure and systems.
Develop and maintain multiple mission critical services.
Immediate effect over our passengers and clients around the world, like making our booking application respond to users significantly faster.
Work in close collaboration with devops teams and algorithms developers and researchers.

We are looking for a Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

We are looking for a Data Scientist- Autonomous.
The Research and Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more).
As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

We are looking for a Senior Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

Our Strategy & BI department is looking for a talented, business-oriented, and driven Senior Business Analyst to join the team.
This person will play a key role in the analysis and optimization of the rapidly expanding business activity and will take part in the execution of growth strategic initiatives.
The ideal candidate is an energetic team player with exceptional data analysis skills, who can use data to effectively drive results in a fast-growing company and aims to enter the business world. A self-motivated with a high degree of comfort and the ability to leverage data to drive decision-making and turn action items into enhanced performance
Responsibilities:
Analyse and optimize products and activities and use data-driven conclusions to influence and support tactical and strategic decisions.
Build and maintain reports, dashboards, and metrics.
Collaborate with stakeholders from various departments to carry out plans and translate strategy into business results.
Conduct customer analysis including segmentation, profitability, customer value, trends, and behavior.
Work with large amounts of data and build tools to streamline processes.
Conduct ad-hoc analysis under tight deadlines.