Research Scientist jobs in Israel

Description Nova is seeking an experienced and innovative R&D System Scientist to join the System Engineering Stand-Alone team within the Research & Development organization. In this role, you will become an integral part of a multidisciplinary team of physicists and engineers responsible for developing advanced metrology technologies, from early-stage research through product delivery. The team develops cutting-edge metrology solutions for the semiconductor industry, combining expertise in physics, optics, mechanics, electronics, motion control, algorithms, and software. You will lead complex system investigations, transform customer and business requirements into technical solutions, and drive scientific innovation that directly impacts Nova’s next-generation products. Role Responsibilities What you will be doing: • Perform theoretical and experimental systems engineering to support state-of-the-art new and existing multidisciplinary optical measurement products. • Define, lead, and oversee the implementation of innovative system solutions. • Collaborate with hardware, software, optics, and algorithm engineering teams to deliver multidisciplinary solutions. • Analyze complex datasets and perform advanced statistical evaluations to support product and technology development. • Investigate critical system behaviors, perform root-cause analysis, and establish robust mitigation and calibration methods. • Support product transfer to manufacturing, service, and production organizations while serving as a technical expert for complex challenges. • Translate customer needs and high-level requirements into detailed technical specifications and system designs. • Travel to customer sites worldwide as needed, approximately 2-3 times per year. Requirements Must Have • M.Sc. or Ph.D. in Physics, Electronics Engineering, Mechanical Engineering, Optics, or a related scientific discipline. • At least 3 years of experience in multidisciplinary advanced-technology R&D environments. • Hands-on experience in real-world data analysis via Python, MATLAB or similar tools. • Strong analytical and problem-solving capabilities. • Ability to manage multiple complex activities in project and matrix environments. • Excellent communication, presentation, and technical writing skills. • Fluent English, both written and spoken. Advantages • Experience in optics within multidisciplinary systems. • Experience in semiconductor equipment, metrology, or related advanced-technology industries. • Experience working with advanced algorithms and complex system architectures. That special something you bring in: • A proactive, hands-on approach combined with scientific curiosity and a passion for innovation. • Strong system-level thinking and the ability to balance deep technical expertise with a broad perspective. • Strong ownership, accountability, and a drive to transform complex challenges into practical solutions. • Creative problem-solving capabilities and a continuous-learning attitude. • Excellent interpersonal skills and a collaborative team-player mindset. Get to know us better: Nova (NASDAQ: NVMI) is a global company and a leading provider of innovative metrology solutions for process control in semiconductor manufacturing. With a team of ~1200 people in three R&D centers and 27 field offices, we bring insights into the world’s most advanced industry. We leverage multiple technology fields such as physics, optics, chemistry, and algorithms to develop hardware and software solutions that measure almost every advanced computer chip built in the world. Nova dives deep into dimensions and layers at the atomic level to extract unique insights and provide our customers with crucial decision-making data, managing critical challenges by providing unique, differentiated solutions. Our outstanding people-focused and innovative culture means every person at Nova has the power to make an impact and significantly redefine what people can achieve through technology. Join us if you are A dreamer and brilliant high aimer who sees the impossible as the starting point and loves working in a multidisciplinary global team to create innovative breakthroughs. If you need assistance due to a disability, you may contact us at [email protected]

Meet Harmony, Monday.com's new AI venture. We're redefining how businesses interact with their customers through next-generation conversational AI and agentic systems. Harmony doesn't just react- it plans, reasons, and acts. You'll join a small, highly autonomous team with the agility, ownership, and pace of a startup, working alongside world-class engineers and researchers to build the next generation of conversational AI. You'll have access to large-scale real-world data, the compute and resources to pursue groundbreaking research, and the freedom to move fast while helping shape our AI vision. About The Role - Research novel algorithms and design new deep learning architectures to advance our in-house NLP and conversational models. - Develop methods for translating customer goals into structured representations with controlled states and real-time observations. - Help design the reasoning layer that orchestrates our AI models efficiently alongside a range of LLMs, enabling each agent to adapt its policy throughout a conversation while remaining aligned with customer objectives. - Build analytical tools that trace our AI decision process across a vast corpus of conversations, providing clear visibility into their reasoning and behavior. - Collaborate closely with engineers and product teams to translate cutting-edge research into production at scale. - Proactively lead new ideas and technical initiatives. Requirements - MSc or PhD in Computer Science, Mathematics, Physics, Electrical Engineering, or a closely related field. - Proficiency in Python. - Strong theoretical background in machine learning and deep learning principles. - Solid understanding of NLP concepts and relevant linguistic principles (co-reference, natural language inference, grammatical relations, and similar). - Experience using statistics and information theory to evaluate AI models and conduct EDA. - 4+ years of experience conducting NLP research with deep learning models and frameworks (PyTorch, TensorFlow, and similar). - Experience shipping AI systems from research to production. - Experience with conversational AI agents is a big plus. - Publications at top-tier conferences (ACL, EMNLP, NeurIPS, ICML, CVPR) are a plus.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Optical Metrology Division products are used for optical overlay metrology. The portfolio of products includes unique solution packages which are based on hardware and software systems to enhance yield and effectiveness. As a world leader in its field of expertise, the division's products are the most advanced in performance (measurement accuracy of nanometers and below), reliability, ease of use and compatibility with other KLA's products. KLA (Israel) controls over 80% of the world market sales in its field, and its products are used by every major semiconductor manufacturer around the world. KLA Israel is located in the Migdal Haemek Industrial Park. Job Description/Preferred Qualifications We are looking for a Research Scientist to join our Advanced Development group. Responsibilities • Proposing novel concepts and developing creative solutions to challenging problems in optical metrology • Designing, building, and running complex optical experiments in the lab to demonstrate proof-of-concept for new ideas • Bridging theory and experiment: deriving theoretical models, validating them experimentally, and iterating between the two • Rigorous data collection, analysis, and interpretation • Formulating conclusions and recommendations to guide next-generation products and roadmap • Collaborating closely within the team and across functions (algo, system, HW, etc.) Minimum Qualifications • PhD in Physics, Electrical Engineering, or a related field - with a strong experimental thesis • Deep theoretical knowledge in optics and the physics of light-matter interaction • Proven, hands-on experimental track record - designing and building optical setups from the ground up and running complex experiments is the core of the role • Demonstrated ability to close the loop between theory and experiment (model → measure → refine) • 5+ years of research experience in industry or academia (including post-doc); 8+ years - an advantage • Strong simulation and modeling skills supporting experimental design and analysis • Proven scientific record of peer-reviewed publications and/or patents • Excellent scientific communication skills, both written and verbal • Independent, creative, out-of-the-box thinker with strong scientific rigor • Team player, comfortable working in a multidisciplinary R&D environment Advantages • Background in high-precision optical measurement or related experimental physics domains • Experience transitioning research concepts from lab demonstration toward product-level maturity We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Description A winning ad could change the trajectory of a mobile game. The only way to consistently find winners is to explore more, faster, and smarter than anyone else. Sett is a UA creative performance platform for mobile gaming. We build agentic AI systems that analyze performance data, generate diverse playable and video ad concepts, deploy them to ad networks, and continuously learn from the results. The full creative loop. Automated, and done better than humans only. Our system doesn't remix templates. It creates fundamentally different creative hypotheses, each one built from real performance signals As a Lead Research Scientist at Sett, you’ll take scientific ownership of a challenging, open-ended research program, combining hands-on deep learning research with technical leadership and mentorship. Working closely with the Head of Research, you’ll turn a broad objective into a coherent research program: defining the problems, developing modeling approaches, designing experiments, and determining what constitutes meaningful progress. You’ll have substantial ownership of the scientific direction, alongside responsibility for advancing the work yourself and providing technical guidance and mentorship to others. This role requires someone who can get a difficult research project moving and keep it moving - not only by developing promising ideas, but by driving their own work and others’ forward through scientific, technical, and engineering obstacles. Responsibilities • Define and evolve the research program - Explore and formulate research questions that fit within company strategy, set scopes and priorities, and revise the framing as new evidence emerges. • Develop and investigate deep learning approaches - Design, implement, and train models, exploring architectures, representations, and learning objectives suited to the problem. • Build a rigorous experimental foundation - Establish baselines, shape data collection and dataset design, and develop evaluation methods that reveal model capabilities, limitations, and generalization. • Own the project’s progress - Identify and address obstacles, coordinate efforts with collaborators, and drive the next steps without waiting for a clear path. Judge when to deepen, change, or discontinue a direction. • Provide technical guidance and mentorship - Help other researchers develop their approaches, strengthen their scientific judgment, and work through difficult problems. Collaborate with Engineering and Product to translate validated research into usable capabilities. Requirements • A Ph.D. focused on deep learning, or equivalent research experience demonstrating comparable scientific and technical depth. • A track record of leading substantial deep learning research, with ownership of problem formulation, methodological choices, experimental direction, and outcomes. • Deep, hands-on model-building experience, including designing or substantially adapting architectures and training methods, implementing experiments in frameworks such as PyTorch or Jax, and diagnosing model behavior. • Strong research judgment: the ability to identify important questions, choose promising approaches, design informative experiments, and critically assess evidence. • Demonstrated ability to drive difficult projects forward, taking responsibility for both your own progress and the broader research effort. You can work resourcefully through obstacles, push and support collaborators, and sustain momentum on long-horizon problems with substantial uncertainty. • Technical depth, adaptability, and intellectual independence. You’ve gone deeply into challenging problems, can move across methods and domains, and form and revise your own views rather than relying on a prescribed approach. • Experience providing technical leadership and mentorship, helping others become more effective and independent researchers. Relevant backgrounds include world modeling, video or multimodal representation learning, sequential modeling, imitation learning, reinforcement learning, and modeling human behavior.