Top Machine Learning Jobs in Israel

Lead technical domain for electronics suppliers, ensuring compliance from NPI development through manufacturing. Collaborate with engineering teams to optimize production processes.

As a Data Scientist, you will innovate in AdTech research, collaborate with teams, manage model lifecycle, and experiment with new algorithms.

The Product Owner leads the execution and improvement of analytics capabilities for the X-Sight platform, focusing on financial crime and compliance. Responsibilities include defining the product roadmap, collaborating with cross-functional teams, and ensuring analytics reliability and scalability.

The role involves defining AI product strategy, executing lifecycle delivery, conducting market analysis, and leading cross-functional teams to enhance cybersecurity products.

As a Senior Backend Engineer, you will develop scalable backend systems using AWS and NodeJS, optimize system performance, and lead the technical roadmap.

As a Product Manager, you will focus on in-app formats, AI Optimization, and collaborate with cross-functional teams to drive product vision and strategy.

The NPI Manager will lead engineering teams, focusing on product readiness and NPI activities, collaborating with Product Management for successful product introductions.

We seek a Data Science Lead to tackle complex ML/AI problems, manage projects, coach a team, and drive business value through data-driven solutions.

As a Tech Lead, you will design and evolve components for ML models, lead technical initiatives, write maintainable code, and mentor engineers.

Arago is seeking ongoing applications for a dynamic range of roles related to AI and hardware, encouraging candidates to submit their details for consideration.

Seeking a Senior Software Engineer to develop Data and ML frameworks using AWS and Python. Responsible for CI/CD and governance, working closely with cross-functional teams to deliver secure data/ML platforms.

Design, build, and maintain ML infrastructure for real-time decision making, expand ML tooling for internal users, and improve MLOps processes.

The Machine Learning Engineer will develop AI driver models, manage training algorithms, and conduct on-road evaluations to enhance automated driving safety and performance.

As a Senior ML Infrastructure Engineer, you will design and build the infrastructure for ML and LLM systems, develop scalable pipelines, and collaborate with data scientists to deploy models and ensure system reliability.

Build and own backend systems, APIs, and infrastructure for end-to-end ML workflows (data, training, deployment). Develop LLM/agentic workflow tooling, ensure scalability, reliability, and cost efficiency, and partner with data scientists to iterate on platform capabilities and observability.

The Senior AI ML Solution Engineer designs AI development pipelines, evaluates ML methods for code generation, and ensures quality in AI-generated code. Responsibilities include creating evaluation systems, leading proofs of concept, and collaborating on risk-based development strategies.

The role involves applying machine learning to optimize verification methodologies, specifically for ASIC pre-silicon verification, collaborating with teams, and engaging with customers on innovative strategies.

The role involves developing AI-enhanced methodologies for pre-silicon functional verification, engaging with customers, and collaborating with engineering teams.

The Senior ML Algorithm Engineer will develop advanced ML algorithms, manage the full algorithm lifecycle, and collaborate with teams and customers to enhance solutions.

Develop advanced ML algorithms, lead lifecycle from ideation to deployment, collaborate with teams to enhance solutions, and integrate AI tools into workflows.

The AI/ML Developer will build and optimize AI/ML models, mentor team members, and apply state-of-the-art advancements in NLP and cloud deployment.

As a Backend Engineer, you will transition research prototypes into microservices, build automated pipelines, manage AWS resources, and ensure model performance monitoring.

Lead cross-domain engineering initiatives connecting AI algorithms, software, and data systems. Ensure AI architecture reliability and efficiency while mentoring engineers and driving collaboration.

The Senior Software Engineer will design and develop infrastructure for AI algorithms in medical imaging, collaborate with teams, and maintain code quality.

Lead the design and development of AI-driven systems, influencing technical decisions, mentorship, and collaboration across teams to enhance clinical AI solutions at Aidoc.