Top Machine Learning Jobs in Israel

Build IDE experiences integrating AI tools, work on prompt optimization and agent tools, and prototype innovative UIs for Datadog's development environment.

As an AI/ML Researcher at Augury, you'll develop and deploy machine learning models, research new algorithms, and collaborate with teams to innovate solutions for industrial manufacturers.

The Algorithm Engineer will develop and deploy algorithms to improve manufacturing processes through digital signal processing, data analysis, and machine learning, while collaborating with cross-functional teams.

Design and develop complex features, process large data, and collaborate on microservices in an AWS environment.

The Software Integration Engineer will build and integrate computer vision software, analyze performance issues, and collaborate with global engineering teams.

Oversee Data Science team, develop ML/DL models, ensure production readiness, establish data science best practices, and collaborate across teams.

As a Senior Data Scientist, you'll drive AI and algorithm development, oversee projects, collaborate with stakeholders, and innovate solutions with a focus on Generative AI and LLMs.

Lead projects in NVIDIA's Product Engineering group, focusing on integrating and managing technical tasks across multiple teams to mitigate quality issues and improve production processes using advanced data analysis techniques.

As a Staff Software Engineer, design and implement a novel verification framework for validating distributed systems, leveraging AI tools for test automation and quality assurance of the Weka Data Platform.

As a Senior Data Scientist, you'll develop analytical solutions, focusing on performance marketing, player incentive systems, and driving strategic projects through data insights.

The Senior Machine Learning Engineer will design and implement neural network architectures for scene understanding, optimizing them for automotive edge devices, while collaborating with teams for integration into vehicle systems.

Develop AI-based GUI comprehension systems, algorithms for automation agents, explore new AI technologies, and contribute to the engineering culture at WalkMe.

The Senior Product Manager will develop internal platforms, manage cross-functional teams, and shape AI-driven systems to enhance business growth.

Responsible for optimizing data platform technologies, implementing data-driven algorithms, conducting scientific experiments, and deploying machine learning solutions.

The Senior Machine Learning Engineer will develop and implement machine learning models, analyze data, and influence product development that impacts company revenue.

Lead the design and implementation of observability features for AI systems, utilizing MLOps practices and collaborating with cross-functional teams.

Cloudera Solutions Engineers lead technical sales, support customer needs, design solutions, and advocate for clients, ensuring successful business outcomes.

Design and build scalable machine learning models for critical business decisions, focusing on production and improving company ML strategy.

As a Senior Product Manager, you will enhance Similarweb's Ad Intelligence platform through cross-functional collaboration and continuous optimization to provide actionable advertising insights.

As an Algorithm Developer, you will build algorithms for LLMs, develop production-grade ML solutions, and collaborate with teams on product-driven tasks.

Join NVIDIA's System Product Engineering team to lead test architectures for network products, ensure quality through extensive product testing, and support production scalability.

Lead a team in developing computer vision algorithms, from concept to production, focusing on 3D reconstruction and AI vision problems.

Lead product management communication, defining and executing product vision and strategy, managing teams, driving innovation, and achieving financial targets.

Design and develop software for surgical robotic platforms, focusing on machine vision systems and computer vision algorithms while complying with regulatory requirements.

Lead product line development, managing all lifecycle stages while collaborating with customers and development teams to meet business goals and satisfaction.