Machine Learning Engineer jobs in Israel

Description About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io Role Overview We are looking for a highly skilled and visionary Senior Machine Learning Engineer to lead the architecture, design, and deployment of enterprise-grade AI/ML projects on AWS. In this role, you will take full technical ownership of advanced AI initiatives, leveraging both native managed services (such as Amazon SageMaker and Bedrock) and custom-built GenAI models to deliver transformative predictive insights and automation to our customers. As a Senior ML Engineer, you will bridge the gap between complex data engineering and state-of-the-art data science. You will drive the design of scalable MLOps architectures, optimize high-volume data pipelines, and act as a trusted technical advisor to our clients. You will work closely with solutions architects, project managers, and data scientists, while also mentoring junior and mid-level engineers to elevate the team's technical capabilities. Responsibilities • Architect and Lead ML Solutions: Spearhead the end-to-end architecture, development, and production deployment of robust Machine Learning models, including advanced predictive analytics, NLP, and Generative AI/RAG systems. • Enterprise MLOps & Automation: Define, design, and implement enterprise-grade MLOps strategies. Establish CI/CD pipelines for ML, automated model training, monitoring, versioning, and governance at scale. • AWS AI/ML Mastery: Architect innovative solutions leveraging AWS AI/ML managed services (e.g., SageMaker, Bedrock) to accelerate time-to-market while ensuring high performance and cost-efficiency. • Advanced Data Engineering: Lead the design of highly scalable infrastructure for extracting, transforming, and loading (ETL) data from diverse sources to support complex ML feature stores and model training. • Unstructured Data & Vector Search: Architect systems for the optimal ingestion, processing, and semantic retrieval of unstructured data (text, images, documents) using Vector Databases (e.g., OpenSearch, Pinecone) and graph-based reasoning. • Strategic Advisory & Collaboration: Act as a trusted AI advisor to external enterprise customers and internal C-level executives. Translate complex business constraints into scalable ML architectures and guide clients through their AI adoption journey. • Technical Leadership & Mentorship: Mentor mid-level and junior engineers, establish coding and architectural best practices, and foster a culture of continuous learning and innovation within the team. Requirements • Experience: 5+ years of proven, hands-on experience in a Machine Learning Engineer or highly technical Data Scientist role, with a strong track record of deploying scalable ML models to production environments. • Education: Bachelor’s (Graduate/Master’s highly preferred) degree in Computer Science, Mathematics, Information Systems, or a related quantitative field. • Expert Programming & ML Frameworks: Deep expertise in Python and mastery of modern ML/Deep Learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face). • GenAI & LLM Expertise: Strong hands-on experience with Generative AI architectures, including LLMs, fine-tuning methodologies, domain-specific prompting, and RAG pipelines. • Cloud Architecture: Extensive practical experience architecting solutions on AWS, with deep knowledge of AWS AI/ML Services (SageMaker, Bedrock) and core data/compute services (EC2, EMR, Redshift). • Big Data Ecosystem: Proven experience designing complex data pipelines using big data and stream processing technologies (Spark, Kafka, Kinesis, Elasticsearch, Hadoop). • Database Mastery: Advanced SQL proficiency, deep understanding of relational and NoSQL databases (MySQL, Postgres, DynamoDB), and experience with data modeling at scale. • Customer Facing Leadership: Demonstrated ability to lead technical workshops, manage stakeholder expectations, and drive complex projects with external enterprise customers. • Languages: Fluency in Hebrew and English is essential. Certifications (Strongly Preferred) • AWS Certified Machine Learning – Specialty • AWS Certified Solutions Architect – Professional or Associate Why work for us? Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development. AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.

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 About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io Role Overview We are looking for a highly skilled and visionary Senior Machine Learning Engineer to lead the architecture, design, and deployment of enterprise-grade AI/ML projects on AWS. In this role, you will take full technical ownership of advanced AI initiatives, leveraging both native managed services (such as Amazon SageMaker and Bedrock) and custom-built GenAI models to deliver transformative predictive insights and automation to our customers. As a Senior ML Engineer, you will bridge the gap between complex data engineering and state-of-the-art data science. You will drive the design of scalable MLOps architectures, optimize high-volume data pipelines, and act as a trusted technical advisor to our clients. You will work closely with solutions architects, project managers, and data scientists, while also mentoring junior and mid-level engineers to elevate the team's technical capabilities. Responsibilities • Architect and Lead ML Solutions: Spearhead the end-to-end architecture, development, and production deployment of robust Machine Learning models, including advanced predictive analytics, NLP, and Generative AI/RAG systems. • Enterprise MLOps & Automation: Define, design, and implement enterprise-grade MLOps strategies. Establish CI/CD pipelines for ML, automated model training, monitoring, versioning, and governance at scale. • AWS AI/ML Mastery: Architect innovative solutions leveraging AWS AI/ML managed services (e.g., SageMaker, Bedrock) to accelerate time-to-market while ensuring high performance and cost-efficiency. • Advanced Data Engineering: Lead the design of highly scalable infrastructure for extracting, transforming, and loading (ETL) data from diverse sources to support complex ML feature stores and model training. • Unstructured Data & Vector Search: Architect systems for the optimal ingestion, processing, and semantic retrieval of unstructured data (text, images, documents) using Vector Databases (e.g., OpenSearch, Pinecone) and graph-based reasoning. • Strategic Advisory & Collaboration: Act as a trusted AI advisor to external enterprise customers and internal C-level executives. Translate complex business constraints into scalable ML architectures and guide clients through their AI adoption journey. • Technical Leadership & Mentorship: Mentor mid-level and junior engineers, establish coding and architectural best practices, and foster a culture of continuous learning and innovation within the team. Requirements • Experience: 5+ years of proven, hands-on experience in a Machine Learning Engineer or highly technical Data Scientist role, with a strong track record of deploying scalable ML models to production environments. • Education: Bachelor’s (Graduate/Master’s highly preferred) degree in Computer Science, Mathematics, Information Systems, or a related quantitative field. • Expert Programming & ML Frameworks: Deep expertise in Python and mastery of modern ML/Deep Learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face). • GenAI & LLM Expertise: Strong hands-on experience with Generative AI architectures, including LLMs, fine-tuning methodologies, domain-specific prompting, and RAG pipelines. • Cloud Architecture: Extensive practical experience architecting solutions on AWS, with deep knowledge of AWS AI/ML Services (SageMaker, Bedrock) and core data/compute services (EC2, EMR, Redshift). • Big Data Ecosystem: Proven experience designing complex data pipelines using big data and stream processing technologies (Spark, Kafka, Kinesis, Elasticsearch, Hadoop). • Database Mastery: Advanced SQL proficiency, deep understanding of relational and NoSQL databases (MySQL, Postgres, DynamoDB), and experience with data modeling at scale. • Customer Facing Leadership: Demonstrated ability to lead technical workshops, manage stakeholder expectations, and drive complex projects with external enterprise customers. • Languages: Fluency in Hebrew and English is essential. Certifications (Strongly Preferred) • AWS Certified Machine Learning – Specialty • AWS Certified Solutions Architect – Professional or Associate Why work for us? Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development. AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.

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.

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms. We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving. What will your job look like: • Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving. • Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges. • Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data. • Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools. • Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency. All you need is: • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance. • Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals. • Practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must. • Strong analytical skills, a sense of ownership, and the ability to work collaboratively. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye’s Hawkeye team is developing advanced close-range 3D perception for autonomous vehicles, enabling safe automated parking and low-speed maneuvers in tight environments. We build multi-camera deep learning systems for precise and reliable understanding of the vehicle’s surroundings. What will your job look like: • Research and develop cutting-edge end-to-end 3D perception models combining geometry and semantics. • Work on 3D Semantic Occupancy, Geometry Reasoning, 3D Reconstruction, 3D Object Detection, and related tasks. • Innovate in multi-view fusion, motion handling, and spatial representation learning. • Deliver models that run on real vehicles and integrate into production systems. All you need is: • 4+ years of hands-on experience in Machine Learning and Deep Learning. • M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar). • B.Sc. from a leading university. • Strong Python development skills. • Highly motivated, hard-working, proactive, and driven to solve challenging problems. • Ability to operate in a fast-paced research & development environment. Nice to have: • PhD or relevant academic publications. • Experience with Linux, Git, Docker, C++. • Knowledge in 3D perception, computer vision, or robotics. • Industry experience working on CV and Deep Learning. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is a global leader in autonomous vehicle (AV) technology. If you’re an experienced deep learning developer driven by a passion to shape the future of mobility, join us to make AV a reality. The 3D Perception team builds transformer-based vision models trained on large-scale driving video for the next generation of autonomous vehicles. Our end-to-end temporal network fuses multi-view cameras into a unified 3D sensing state that powers planning. What will your job look like? • Develop, implement and optimize state-of-the-art transformer-based temporal vision models. • Extend network capabilities, analyze results and errors, and deliver measurable improvements to the driving scene understanding. • Work shoulder-to-shoulder in a large, collaborative group. • Research and integrate the latest advancements in 3d detection and perception. • Improve algorithmic performance through rigorous experimentation and innovation. • Work with large-scale datasets. • Research new advances in the field from the literature and industry. • Code primarily in Python. All you need is: • M.Sc. in Computer Science or a related field. • 3+ years of experience developing, implementing, training and analyzing deep learning algorithms in Python. • Top-tier mathematical, analytical, and coding skills. • Strong self-learner and research capabilities with a proven track record from industry or academia. Nice to have: • PhD in Computer Science or a related discipline. • Experience in computer vision, multi-view geometry and 3D reconstruction.

You will be part of Mobileye's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in Mobileye's autonomous driving and high-end Driving Assistance systems. You will be joining the team that builds the state-of-the-art AI-powered relevancy systems at scale. You will be designing and implementing semantic understanding engines that power data-driven products across autonomous driving and beyond, combining cutting-edge Computer Vision, Graph Neural Networks, and efficient inference to solve real-world perception challenges. What will your job look like: • Conduct hands-on research and development of AI and Deep Learning algorithms for real-world automotive perception tasks. • Own projects end-to-end — from concept, through research, prototyping, designing, training, and evaluating neural network architectures, to integration and scalable deployment. • Analyze challenging edge cases and continuously improve model performance in complex driving scenarios. • Collaborate with algorithm developers, software engineers, product managers and system teams across the organization. • Work with large-scale datasets and real-world driving scenarios to improve model accuracy, robustness, and runtime efficiency. • Bring your ideas into production-ready systems that have a direct, measurable impact on autonomous vehicle technologies used worldwide. All you need is: • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance. • 3+ years of hands-on experience developing deep learning solutions using Python and frameworks such as PyTorch. • Solid foundation in Algorithms, Machine Learning, and Deep Learning fundamentals (Computer Vision / Graph Neural Networks – advantage). • Strong analytical skills, a sense of ownership, and the ability to work collaboratively. Nice to have: • Experience leveraging AI agents and modern productivity tools in development workflows. • Experience with cloud environments and big data tools. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms. We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving. What will your job look like: • Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving. • Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle. • Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems. • Analyze large datasets to improve algorithm performance and robustness. All you need is: • B.Sc. or M.Sc. in Computer Science or Engineering, with excellent academic performance. • 4+ years of hands-on experience developing deep learning algorithms, preferably in computer vision or perception for autonomous driving systems. • Solid understanding of data structures, algorithms, and deep learning principles. • Hands-on experience in algorithm development. • Strong problem-solving skills and the ability to work independently and as part of a team. Nice to have: • Experience with TensorFlow or PyTorch. • Familiarity with cloud platforms and tools (e.g., AWS, GCP). Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We are looking for an M.Sc. Graduate Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving. Our group tackles diverse challenges — from object detection and scene understanding to 3D perception — using large-scale, real-world in-house datasets and state-of-the-art deep learning models. What will your job look like: • Develop and train neural networks for complex perception tasks in real-world driving environments. • Design and analyze deep learning pipelines, from data to deployment. • Collaborate with algorithm, software, and data experts to deliver production-ready models. • Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency. All you need is: • M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar) - Must • B.Sc. from a leading university • Solid background in Machine Learning and Deep Learning • Strong Python development skills • Highly motivated, hard-working, proactive, and driven to solve challenging problems • Ability to operate in a fast-paced research & development environment Advantages: • PhD or relevant academic publications • Experience with Linux, Git, Docker, C++ • Knowledge in 3D perception, computer vision, or robotics • Industry experience working on CV and Deep Learning Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures. Mobileye is providing an end-to-end software solution for development and deploying features on its HW chip - EyeQ. The compilers team is looking for a C++ Software engineer with a passion for low level optimizations and code analysis. What will your job look like? • Develop and extend a compiler based on the LLVM infrastructure to support and optimize Mobileye's EyeQ hardware. • Implement and improve middle‑end and back‑end compiler optimizations. • Analyze generated code to improve performance and efficiency. • Perform real-world benchmark analysis to find optimization opportunities. • Collaborate with chip architects on defining and supporting future hardware generations. All you need is: • B.Sc. in Computer Science, Computer Engineering, or a related field - Must. • 3+ experience in C/C++ and Python - Must. • Fluent English communication skills, both written and spoken. • Experience with low‑level, firmware, or embedded software development and debugging. • Familiarity with compiler technologies, particularly LLVM or MLIR. • Experience analyzing benchmarks and performance data. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We are seeking a Deep Learning Algorithm Developer with strong software engineering skills. Our team is project-oriented, meaning we are assigned significant computer vision projects and solve them using novel, state-of-the-art neural networks. Projects can be initiated both bottom-up and top-down, and they are always interesting and challenging. What will your job look like: • The job consists of a mix of algorithmic research and algorithms development, with an emphasis on deep neural networks. • You will learn and deploy state-of-the-art techniques to achieve world-class results which will allow the safe development of autonomous driving features and advanced driver assistant systems. • The work is typically done in teams and the amount of team interaction varies based on the needs and the employees' tendencies and preferences. • You will be solving algorithmic problems in many fields including mapping, and geometric problems by using heuristic solutions in addition to neural networks. All you need is: • B.Sc. in Computer Science, Electrical Engineering, or related field. • Advanced degree (M.Sc. or Ph.D) in Computer Vision, Deep Learning, or Machine Learning- advantage. • 2+ years of experience in developing DL algorithms. • Python programming skills. • Experience with training transformers in PyTorch. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution! Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!