Top Machine Learning Jobs in Israel

Design, implement and optimize an NPU (Neural Network Processor) simulator in C/C++ (OOP), collaborating with architecture, algorithms, systems and hardware teams to enable efficient execution of advanced AI networks for edge devices. Analyze and improve simulator performance and accuracy across Ceva processor architectures.

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

Investigate and adjudicate complex online child safety cases involving sensitive content, analyze large review datasets for emerging threats and actionable signals, and develop Python or Bash automations to improve review workflows. Produce intelligence reports and policy recommendations, collaborate with engineering and AI teams on labeling quality and golden datasets, and support improvements to automated detection models. The role requires extensive child safety expertise, technical scripting ability, strong communication, and resilience to graphic content.

Own Olly, Coralogix’s flagship AI product, from concept through launch. Partner closely with engineering on architecture and execution, use AI workflows to prototype and streamline product development, translate customer needs into impactful capabilities, and track business metrics. The role requires technical fluency, strong product ownership, experience with complex B2B SaaS or infrastructure products, and comfort in ambiguous startup environments.

Contribute to design, develop, test, and maintain AI-powered features and services. Implement production-quality code, build agents, prompt and retrieval workflows, run evaluations and monitoring, debug issues, and apply CI/CD, security, and responsible AI practices while collaborating with mentors and cross-functional team members.

The AI Architect will lead AI architectural guidance, hands-on innovation, and establish best practices for AI development while ensuring compliance with regulations.

Design, implement, and optimize production-grade algorithms and computational geometry infrastructures for Frontline's CAM products. Own full development cycle, improve performance and scalability, integrate solutions into large-scale software, troubleshoot complex issues, and collaborate with cross-functional teams to deliver high-performance algorithmic solutions for PCB manufacturing.

Lead high-complexity data science initiatives improving search ranking, retrieval, relevance, and evaluation. Develop and deploy production machine-learning and NLP solutions, investigate LLM-based ranking features, optimize SQL queries, and work with sparse privacy-preserving data. Define strategies for ambiguous problems, guide other data scientists, collaborate with product teams, and own projects from scoping through production.

Designs, develops, deploys, and optimizes large-scale data pipelines across cloud and on-premise environments. Ingests high-volume data, analyzes datasets with Data Scientists, and builds data solutions for data warehouse and AI projects. The role requires Python, Spark, dbt, pipeline orchestration, container platforms, advanced data formats, AWS data services, and BI tool integration, along with strong analytical, collaborative, and independent working skills.

The role involves designing advanced AI models for cybersecurity solutions, leading research initiatives, and mentoring data scientists, focusing on LLMs and scalable systems.

The AI Data Specialist will perform data-related tasks like collection, evaluation, and annotation to improve AI-generated content in Hebrew.

Senior backend engineer to lead design and implement high-scale XDR detection systems. Build and maintain Big Data/ETL pipelines, optimize databases, collaborate with Product/Frontend/ML/DevOps, and deploy production-ready, low-latency detection services.

This role involves end-to-end investigation of product failures, leading multidisciplinary analysis, driving investigations, and defining debug strategies in a lab environment.

Analyze financial performance, pricing, budgets, forecasts, KPIs, competitor trends, and business units. Build dashboards, reports, economic models, scenario analyses, and AI-augmented financial tools. Automate recurring finance reporting and communicate actionable insights to stakeholders and leadership. The role also supports strategic projects, process improvements, controls, benchmarking, and forecasting across company units.

Lead computer vision and AI products from research and definition through development with algorithm and engineering teams. Collaborate with business, marketing, operations, and strategic retail clients to define solutions, manage roadmaps, and deliver products for cashierless shopping, theft prevention, and retail insights. The role requires B2B product management experience, strong analytical and communication skills, customer experience across the US and EU, and a STEM degree.

Develops advanced 3D perception models for autonomous vehicles, focusing on semantic occupancy, geometry reasoning, reconstruction, object detection, multi-view fusion, and spatial representation learning. Integrates deep learning models into production systems running on real vehicles. The role requires strong machine learning, deep learning, and Python skills, with opportunities to apply computer vision and robotics expertise in a research and development environment.

Take end-to-end ownership of specific ADAS features (e.g., High Beam Assist, Blind Spot Monitoring). Define scope and specs, align OEM requirements with internal roadmaps, collaborate with engineering for delivery, participate in testing and validation, mitigate risks, and maintain feature roadmaps to meet production and compliance targets.

Design, build, and productionize LLM-based systems and MLOps infrastructure (feature store, vector DB, training, monitoring). Develop Python microservices, integrate pipelines and data, collaborate with cross-functional teams, and own projects end-to-end from design to production and monitoring.

As a CBRN expert at Alice.io, you will evaluate and create prompts for Generative AI systems, ensuring their safety and accuracy in CBRN contexts. You'll provide expert feedback and stay updated with relevant research and regulations.

Lead research initiatives to enhance AI products, drive innovation, and collaborate across teams to meet customer needs in AI solutions.

Build and maintain microservice-based Home product features in TypeScript/NestJS, use internal automation to develop and deploy services, collaborate with Product/QA/Data/ML to meet squad OKRs, own production-grade, scalable code, and improve engineering best practices.

Research, design, and implement advanced algorithms for 3D semiconductor metrology. Apply computer vision, machine learning, signal processing, and probabilistic modeling to analyze complex datasets, estimate error bounds, and validate solutions in collaboration with physicists, system engineers, and software developers.

Own a product area end-to-end: set strategy, define roadmap, write requirements and user stories, lead discovery with customers, prioritize backlog, collaborate with UX, R&D, sales and leadership, and drive execution for utility-focused SaaS products.

Lead discovery, definition, and delivery of product initiatives for Claroty's platform. Own product vision and roadmap, integrate AI/ML capabilities for threat detection, manage end-to-end lifecycle, prioritize features, and collaborate with engineering, design, sales, marketing, and customer success to drive scalable platform adoption.

Lead product roadmap and specifications for a B2B, on-premise, AI-driven video analytics product. Define performance, scalability, and cost benchmarks for hardware-accelerated systems, collaborate with engineering, gather customer feedback worldwide, and translate technical requirements into hands-on product designs and releases.