Top Machine Learning Jobs in Israel

The Systems & Physics Manager will lead a team of engineers and physicists in the R&D Group, responsible for solution architecture, system design, and overseeing advanced analytics for multi-disciplinary systems in semiconductor metrology and inspection.

The Senior Engineering Manager will lead the Static AI team in developing machine learning models for malware detection across various platforms. Responsibilities include mentoring engineers, overseeing software releases, participating in ML research, and fostering a collaborative team culture. The role emphasizes technical leadership and team growth in a cybersecurity context.

The Senior AI Engineer will design and develop AI-based GUI comprehension systems, apply advanced algorithms for GUI perception, validate new algorithms with large datasets, and contribute to WalkMe's engineering culture by investigating and implementing new technologies.

As a Machine Learning Engineer, you will build infrastructure for running machine learning algorithms, optimize these algorithms under latency constraints, and parallelize them for computation. You will also develop software for data acquisition, cleaning, and visualization, and work closely with researchers to integrate algorithms into trading strategies, influencing the technological direction of the team.

As an MLOps Team Lead at Gong, you'll design and maintain scalable ML infrastructure, collaborate with research teams, and guide ML engineers to optimize systems while ensuring performance and reliability. You'll foster team growth and uphold engineering excellence, driving innovation in the AI platform division.

The Data Scientist will join the founding team at AxoniusX, focusing on developing algorithmic and machine learning features for products. Responsibilities include analyzing diverse data, building prototypes, collaborating with team members, and managing the entire algorithm lifecycle to impact the company’s revenue.

As a Senior Big Data & ML Engineer at Unity, you will design, develop, and deploy advanced ML pipelines while leading a team, mentoring junior engineers, and integrating ML solutions in collaboration with cross-functional teams. You will stay updated with AI advancements and focus on improving model performance through innovative techniques.

The Senior Big Data Engineer/Machine Learning Engineer will develop and implement advanced big data machine learning algorithms, optimize data pipelines, and ensure data integrity. Collaboration with a diverse team and direct interaction with stakeholders is essential for enhancing the Apps solution.

As a ML & Big Data Analyst, you will analyze complex datasets, validate new data sources, and collaborate with engineers to enhance data processing solutions. You'll also be responsible for developing tools to ensure the quality of data and algorithms, and applying quantitative analysis and data mining techniques to provide insights.

As an ML Engine Software Engineer, you will design and optimize backend systems for ML inference, enhance system efficiency, and collaborate with cross-functional teams to improve Lightricks' core production systems. Your role will involve developing and maintaining the ML inference engine, contributing to system architecture, and addressing technical challenges creatively.

As a Computer Vision Algorithm Expert, you will develop and research machine learning and computer vision algorithms. You will lead data science projects, design machine learning infrastructure, collaborate with teams, and drive innovation to enhance the product's market competitiveness.

The Senior Software/Machine Learning Engineer will develop and integrate systems to process and analyze large volumes of data, build and optimize data pipelines, and collaborate with data scientists. Responsibilities include monitoring data integrity and implementing improvements for better scalability.

The Senior/Lead/Principal Backend Engineer will design and develop AI-based solutions using LLMs for automation tools, architect scalable systems, prototype quickly, and collaborate with cross-functional teams to deliver efficient business solutions. They will balance innovation with practicality in problem-solving.

As a Senior Software Engineer at JFrog ML, you will enhance and build the MLOps Platform, collaborate in a skilled team, focus on system scalability and stability, and take part in various aspects of the ML Platform from data source to inference.