Machine Learning Engineer jobs in Tel Aviv-Yafo

Join Ovalix and Help Secure the AI Era We're building the platform that gives enterprises visibility, governance, and protection across their AI ecosystem, from public GenAI tools and homegrown apps to coding assistants and autonomous AI agents. We're looking for people who want to solve real enterprise AI security challenges and move fast with a friendly, focused team. Responsibilities ML is the heart of our product: detecting and classifying risks in real-world AI traffic with NLP and LLMs. You'll own models from research to production and shape our ML direction from day one. Requirements 5+ years of hands-on DS/ML experience in Python, taking models from research to production. Strong NLP background and hands-on experience with LLMs (prompting, fine-tuning, evaluation). Solid engineering skills — comfortable owning data pipelines and inference services in production.

Description We’re hiring a ML Engineer to accelerate AI-driven innovation across Stampli’s B2B SaaS platform. You’ll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference. What You Will Do • Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across Stampli’s product and internal workflows. • Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring. • Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality. • Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services. • Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure. • Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders. What You Will Bring • 6+ years of experience as a Backend Developer, Data Engineer, or ML Engineer • Strong proficiency in Python • Deep expertise in designing scalable, resilient, fault-tolerant and secure backend systems • Strong experience with distributed systems, microservice patterns, asynchronous processing and event-driven architecture • Proven ability to design and operate high-throughput APIs in production • Experience leading technical design reviews and making sound architectural tradeoffs • Excellent problem-solving skills and ownership mindset • Strong collaboration and communication abilities Bonus if you have: • M.Sc. in Computer Science, Software Engineering, or similar field • Deep experience with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch) • Experience building and scaling LLM-powered applications • Familiarity with AWS and DevOps best practices (CI/CD, monitoring, IaC) • Exposure to NoSQL and real-time data processing pipelines You Will Get • AI-driven workplace: Work with cutting-edge tools like ChatGPT Enterprise to enhance productivity, spark innovation, and streamline your day-to-day. • Hybrid model: Join us in our Tel Aviv office three days a week (Tue–Thu), with the flexibility to work remotely the rest of the week. • Stock options and real ownership in what you help build. • Career growth supported by experienced, innovation-focused leadership. • Modern, inclusive environment within a fast-moving scale-up culture. Why Join Stampli? Stampli is revolutionizing financial operations with AI, far ahead of competitors. For nearly a decade, our AI assistant, Billy, has set the industry standard—processing $100B+ in invoices annually and saving millions of labor hours for 1,600+ customers. More than automation, Billy transforms finance teams by freeing them of manual work. Our explosive growth places us among the top tech companies at our stage, with exceptionally low churn. After conquering the Accounts Payable space, we're now revolutionizing the entire procure-to-pay (P2P) lifecycle with our new platform that "connects every dot from request to reconciliation." What sets us apart? We adapt to customers—not the other way around—integrating with 70+ ERPs in weeks, not months. Our customer-first approach extends to our award-winning workplace culture, with vibrant, global offices. We've earned multiple Comparably awards, including Best Company Outlook, Work-Life Balance, Compensation, Happiness, and Perks & Benefits. Here at Stampli, we build exceptional products with exceptional people. Join our dynamic team where your career will thrive in an environment that champions creativity, collaboration, and growth!

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team As the leading provider of Talent Orchestration technology, HiredScore’s artificial intelligence, automation and deep integrations empower the largest and most innovative companies in the world to safely and transparently drive critical business outcomes in recruitment productivity, diversity hiring, internal mobility, and total talent management. HiredScore is designed to help companies match, rediscover, and engage talent more effectively. Seamlessly integrated with Workday, it streamlines processes, reduces administrative tasks, and delivers timely insights that enhance decision-making and free up time for meaningful interactions with top talent. We place great value on career growth, learning and collaboration. Employees are our #1 value! We are an agile organization, constantly looking for ways to improve with a focus on the value we deliver to our customers. We work closely with people to acquire fast feedback and achieve the right outcomes. At our Israeli site, we follow a hybrid work model with 3 days in the office and 2 days from home About the Role • Design, build, and improve ML-powered software products that deliver real value to users. • Explore, analyze, and model large-scale textual data to support accurate predictions, classification, and decision-making. • Develop and evaluate NLP and machine learning models, using LLMs and generative AI techniques when relevant. • Move quickly from data analysis and experimentation to prototypes, production-ready code, and integration with other services. • Own the quality, performance, and ongoing improvement of your work through metrics, evaluation, and data-driven iteration. • Collaborate with product, engineering, and research partners while learning from a strong technical team. About You Basic Qualifications: • 4+ years of experience as a machine learning engineer, data scientist, software engineer or in a related technical role. • Strong Python skills, with experience building, shipping, and maintaining production-grade code. • Solid software engineering fundamentals, including clean APIs, testing, CI/CD, observability, and maintainable codebases. • Practical experience working with large-scale data, data modeling, and production systems that support data-driven products. • Familiarity with machine learning, deep learning, and NLP concepts, with hands-on experience using frameworks such as PyTorch, TensorFlow, or scikit-learn. Other Qualifications: • Bachelor’s degree in Computer Science or a related field; Master’s degree is a plus. • Experience with GenAI and LLMs. Our Approach to Flexible Work With Hybrid Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so we require employees to work three days a week in the office and two days at home. This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email [email protected], as far in advance as possible. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Description Kela is a defense technology startup pioneering next-generation command-and-control and data infrastructure systems. We empower defense organizations with robust, scalable, and secure platforms that integrate diverse sensors and AI to deliver real-time battlefield intelligence. Backed by leading investors, Kela combines Israeli innovation with global mission impact. Join our Algorithms Department to solve mission-critical, real-world challenges. You will sit at the forefront of national defense, developing cutting-edge algorithms and AI systems that turn raw sensor data into actionable intelligence. Responsibilities: • Research, develop, and optimize sophisticated algorithms, from classical computer vision methods to advanced deep learning models. • Build models and algorithmic pipelines for detection, classification, segmentation, and scene understanding in complex operational environments. Requirements • B.Sc. or M.Sc. in Computer Science, Machine Learning, Data Science, or a related field • A natural ability to deconstruct complex, non-standard algorithmic and mathematical challenges. • Strong grasp of deep learning, model training, optimization, and evaluation; experience in computer vision is a major advantage. • Professional experience in Python, NumPy, and PyTorch or similar frameworks. • Experience with machine learning, optimization, or probabilistic modeling is highly valued.

Description Chips Talk, We Listen proteanTecs is a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? proteanTecs is the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics. Here at proteanTecs, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices – we work with the world's largest and most notable companies in tech. Why proteanTecs is a great place to work: • Fast-paced and impactful: We're a mission-driven startup, so you'll tackle new challenges daily, wear many hats, and see your work directly influence the future of electronics. • Supportive company culture: Learn from the best. Our 200+ team members are experts in their field with a proven track record of success, and they're committed to fostering a collaborative and supportive work environment. • International presence: We're a multinational company with a diverse team across multiple locations around the globe. You'll collaborate on projects with international impact, gaining a global perspective of the tech industry. • Work with industry leaders: Our solutions are used by the biggest names in tech. You'll be part of the team creating the next generation of groundbreaking products. • Cutting-edge playground: We use the latest machine learning, platforms, and tools to push boundaries and achieve breakthroughs. • Real-world impact: Our work keeps data centers, cars, and other critical systems running smoothly. Your work will directly contribute to safer, more reliable electronics. • We are here for the win: Backed by industry veterans and leading investors, we offer a stable and secure work environment with plenty of room for growth. We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software. Location: Tel-Aviv in hybrid model. Requirements • B.Sc. in Electrical Engineering – MUST • 5+ years experience in algorithm development, preferably in complex, data-intensive environments • Deep expertise in Python, including statistical and machine learning packages • Proven experience across all algorithm development phases: research, implementation, testing, deployment, and debugging· Familiarity with testing frameworks (e.g., unit tests, E2E tests, performance and memory profiling) • Intensive usage of AI coding tools like Cursor or equivalent (e.g., GitHub Copilot, CodeWhisperer) Advantage • M.Sc. or higher in Electrical Engineering, Computer Science, or a related field • Prior experience with: • HW/SW integration or ATE/Chip testing • Version control systems (e.g., Git) and CI/CD tools • Distributed compute frameworks (e.g., Spark, MLRun) • Containerization and cloud orchestration (e.g., Kubernetes, cloud APIs) • Business intelligence tools (e.g., Tableau or equivalent) • AI platforms and agents that interface with model training, data annotation, performance monitoring, or autonomous debugging • Familiarity with chip production or design methodologies Responsibilities • Develop advanced ML algorithms using data from proteanTecs Agents embedded in silicon. Example domains include: • Lifetime predictions • Clustering and dimensionality reduction • Parametric modeling and screening • Time-series forecasting • Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment. • Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions. • Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.

Description Who We Are You are looking for a role that challenges you intellectually and lets you build things that matter. You have an entrepreneurial mindset, you enjoy solving complex technical problems, and you thrive in a fast-paced startup environment. Most of all, you want your work to have meaning. We're Darrow – a fast-growing startup in the Legal Exposure Management space. We have an open, action-driven culture unlike any other. Our work starts from a simple idea: legal exposure should be visible while it's still possible to act on it. We've built a technology engine that scans massive amounts of public data to identify legal exposure and evaluate its financial value at sale, and every tool or workflow you build here moves that mission forward. We have one advantage technology and AI can't replicate: our people. More than 100 people worldwide, in Israel, US & Europe who are smart, humble, curious people who thrive at the intersection of law and AI, and we're looking for the leader who will protect and grow that edge as we scale. About the Role A Senior AI/ML Engineer role on our Data team, sitting at the intersection of AI engineering, data science, and data platform. You'll build agentic, LLM-based systems that turn vast amounts of unstructured information into high-quality structured signals — powering Darrow's products and surfacing legal risk — owning each solution across the full lifecycle, from exploration to production. You'll work closely with data engineers, data scientists, product managers, and legal experts to turn ambiguous problems into scalable AI capabilities. This is a hands-on role for someone with strong engineering judgment, deep data/ML expertise, and a focus on reliability beyond the prototype stage. What You'll Do • Design, build, deploy, and operate production AI systems: agentic, LLM-based extraction workflows and batch/online inference pipelines and owning them from exploration through deployment, monitoring, and iteration. • Define quality metrics and build evaluation datasets, testing processes, and feedback loops for ML and LLM systems; monitor accuracy, latency, cost, and data quality, and investigate and fix failures. • Explore large, complex datasets to surface useful features and patterns, and translate findings into production-grade implementations. • Partner with data engineers on ingestion, transformation, orchestration, and storage to deliver dependable data products. • Use AI-assisted coding tools (e.g., Claude) effectively while maintaining strong technical judgment and ownership of your systems. • Help shape engineering standards for production AI: testing, observability, reproducibility, data lineage, versioning, and safe deployment. Requirements What You Bring • 6+ years in ML engineering, AI engineering, data science, or backend engineering for data-intensive systems, with hands-on experience taking systems to production (deployment, monitoring, evaluation, versioning, improvement). • Strong Python skills and data orientation — SQL, NoSQL, data pipelines, and both structured and unstructured data. • Solid data science foundation: feature engineering, statistical reasoning, experiment design, error analysis, and relevant metrics (precision, recall, accuracy, coverage). • Experience with LLM-based applications: structured extraction, tool calling, agentic workflows, prompt design, embeddings, retrieval, and model evaluation. • Understanding of production AI tradeoffs, quality, latency, scalability, reliability, cost and experience integrating AI into batch, orchestration, API, or event-driven workflows. • Ability to work independently in ambiguous environments, breaking problems down and driving them to production. • Strong communication skills across engineering, data science, product, and domain-expert teams. Nice to Have • Document intelligence, information extraction, entity resolution, classification, ranking, or large-scale enrichment pipelines. • Experience building or operating agentic systems in production. • Natural Language Processing experience. • Familiarity with orchestration/ML tooling (Airflow, Dagster, Prefect, MLflow, or similar). • Experience with data warehouses, data lakes, vector databases, or modern data-processing frameworks. • Cloud-native experience: AWS, Docker, Kubernetes, IaC, CI/CD. • Experience with human-in-the-loop review or feedback-driven AI systems. • Familiarity with legal, financial, compliance, or other data-intensive domains where quality and explainability matter. What Success Looks Like • AI capabilities move reliably from experimentation to production, on systems engineers, scientists, and domain experts can depend on. • Agentic workflows deliver accurate, measurable structured data that strengthens Darrow's products and decision-making.

Description At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone. We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of state-of-the-art computer vision products from concept to production. In this role, you will be a part of a highly talented R&D team driving the core of UVeye’s inspection portfolio, while researching and implementing diverse Machine and Deep Learning algorithmic solutions to solve complex, real-world visual challenges. A day in the life and how you’ll make an impact: • Design and Development of novel, robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges. • Create Proof of Concepts (PoC) for new products and technologies, transitioning research-grade ideas into scalable, production-ready systems. • Evaluate, benchmark, and profile different algorithms on unique, large-scale proprietary datasets, while driving data-centric AI methodologies (active learning, data curation). • Collaborate with infrastructure, MLOps, and hardware teams to define future technology, features, and optimize models for real-time inference constraints (on Edge/Cloud devices). Requirements • 4+ years of industry experience in the development, optimization, and deployment of Deep Learning Algorithms in production environments. • Hands-on industry experience working on major Vision problems in fields such as Detection, Classification, and Segmentation (experience with 3D Perception, Anomaly Detection, or Multi-View Geometry is a major advantage). • Deep theoretical understanding of modern neural network architectures (e.g., CNNs, Vision Transformers - ViTs, Diffusion, or Generative AI for Vision) • Experience with Python- Must, C/C++ - An advantage. • Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.). • Experience working with Tracking / Identification / Image Retrieval / Anomaly Detection / Pose Estimation / OCR/Image Registration -An advantage. • Comfortable in unexplored territory, independent and self-motivated. • M.Sc./Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related field – A strong advantage. • Experience with AI tools and generative AI frameworks to enhance development productivity and research workflows, such as Codex, Cursor, and Claude. Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.