דרושים » מדעים מדוייקים » Head of Algo Planning

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 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 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

Required Data Flow Compiler Engineer
Description
A leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our teams expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.
Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.
To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, we are leading the edge AI revolution.
In this position
As a team member of the team, you will work on several challenging fronts, implementing different algorithms for resource allocation, mapping, HW-specific features, and optimizations in C++. Help build and develop our dataflow compiler, an innovative unique toolchain that takes real-world AI models and compiles them to our breakthrough processors.
The role involves a deep understanding of our architecture and has an extensive direct impact on our products.
Responsibilities
Design and develop a multidisciplinary system for machine learning.
Work in different SW environments: C++, Python, AI frameworks.

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.

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.

We are looking for a Digital Group leader to grow our Digital team, who would lead design and verification activities and be involved with a variety of research, architecture and integration aspects.

Your Day to Day
Lead and manage a dynamic group of digital design and verification engineers focused on developing innovative image sensors and ISP solutions.
Define and prioritize project objectives, timelines, and deliverables to align with our companys strategic goals.
Oversee the design and verification process of ASIC and FPGA projects through system integration to our innovative image sensing solutions.
Collaborate closely with cross-functional teams, including analog design, firmware, and software engineers, to ensure seamless product integration and performance.
Analyze and optimize digital signal processing algorithms and FPGA implementations to enhance image quality and sensor performance.
Mentor and provide technical guidance to your team members, fostering a culture of growth and innovation.

At our company, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are hiring a highly skilled and motivated Electronics Engineer to join our talented Hardware R&D team.
A day in the life and how youll make an impact:
* Develop and own all electrical modules of our products.
* Integrate new components and sensors into the system.
* Perform PCB development activities for new designs and improvements.
* Lead troubleshooting of faulty electrical components.
* Collaborate with system engineers, mechanics, and software teams to develop next-gen features and products.

Were looking for a data-driven SEM specialist with strong analytical skills and hands-on experience to lead and optimize our activities across multiple channels and markets.

The role includes managing Search campaigns, analyzing performance data, and handling large-scale budgets in competitive environments. We're seeking a strategic thinker and proactive leader, someone who drives innovation, takes ownership of high-impact projects, and constantly looks for smarter, more effective ways to grow performance.

Responsibilities:
Plan, develop, and run PPC campaigns on Google Ads and Bing Ads.
Analyze campaign data for actionable insights and optimizations.
Stay updated on PPC trends, technologies and Google automation.
Analyze business results, build and track KPIs to improve company's effectiveness and help achieve our business goals.
Implement new tools for performance improvement.
Create a positive, collaborative work environment for knowledge sharing.
Encourage innovation within the team for creative solutions.

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.