Top Machine Learning Jobs in Israel

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

Drive execution of payment features, manage product backlog, collaborate with engineering on technical requirements, and maintain expertise in payment protocols.

Develop and optimize algorithms for energy management and anomaly detection, collaborating with teams to deliver production-ready code and analyzing data sets.

Join a dedicated team as a Senior Backend Engineer to develop fraud prevention solutions, optimize algorithms, and mentor peers while collaborating across departments.

Lead the development and transformation of Forter's AI platform, overseeing teams and driving organization-wide AI adoption and analytics infrastructure.

Lead the product lifecycle for algorithms and machine learning systems, develop product roadmaps, and collaborate with cross-functional teams.

The Senior Data Scientist will develop and enhance tabular data classification models to improve automated decision-making and operational efficiency across Honeycomb’s insurance products.

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

Lead the product management team for Cortex XSIAM, overseeing the product lifecycle, collaborating across departments, and innovating B2B cybersecurity solutions.

The Senior Data Scientist will develop scalable ML models, analyze large datasets for insights, and collaborate with teams to enhance business performance through data-driven solutions.

The role involves developing advanced medical technology for cardiac diagnosis, including intra-body tracking systems, signal processing, and sensor integration.

The Senior AI Software Engineer will design and develop AI algorithm infrastructure, collaborate with teams, maintain code quality, and explore new technologies in medical imaging AI solutions.

As Director of AI, lead a team of AI engineers, drive innovation, execute the AI roadmap, and ensure competitive advantage through advanced AI solutions.

The Principal Architect leads the architectural vision for SentinelOne's AI-powered platform, guiding technical strategy, ensuring scalability, and integrating advanced technologies into security solutions.

The Marketing Innovation Director will lead AI-driven marketing strategies, pilot new tools, evaluate ROI, and enable cross-functional collaboration to enhance marketing efficiency and effectiveness.

As a Machine Learning Engineer at Tabnine, you'll develop code-focused LLMs, build multi-agent systems, and optimize AI workflows, impacting millions of developers.

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

Lead the development of ML and computer vision features, focusing on advanced camera systems and robotic perception. Responsibilities include designing algorithms, developing real-time processing solutions, and managing ML/DL projects.

As a Senior Data Scientist at Melio, you will develop classification and anomaly detection algorithms using machine learning techniques and LLMs, collaborating with various teams to enhance user experience in fintech.

The Data Scientist Team Manager oversees a team of data professionals, developing machine learning solutions and managing data processes while collaborating with stakeholders and product teams.

The Senior Tech Recruiter will focus on sourcing and hiring senior-level engineers in AI/ML, LLM, and infrastructure domains while collaborating with engineering leadership.

As an Applied Machine Learning Engineer, you'll design and deploy ML systems, write production-grade Python code, and collaborate with teams to align ML solutions with business needs.

The Machine Learning Engineer role involves deploying ML models to protect customers from cyber-attacks, optimizing ML applications, and managing the ML infrastructure and pipelines in production.

The AI & ML Tech Lead will establish the ML team's technical foundation, implement infrastructure and deployment frameworks, lead development, and recruit new talent.

Lead and mentor a team of AI and backend engineers, driving project delivery, providing technical guidance, and promoting innovation.