Join the innovative team at MyHeritage as a Machine Learning Engineer, where you will have the opportunity to work on cutting-edge projects that shape the future of genealogy and family history. You will develop algorithms and systems that enhance user experiences and drive the success of our platforms.

Unlock your potential by joining a leading performance-focused advertising company! As the Team Leader of the Machine Learning group focused on advertisers at our Tel Aviv office, you will be instrumental in innovating how we model user intent at scale and convert rich behavioral data into more intelligent recommendations. You will oversee the design and advancement of large-scale Deep Learning models that significantly enhance advertiser performance and marketplace efficiency. By mentoring team members and steering technical strategies, you will transform modeling challenges into effective, scalable production solutions. Your contributions will shape how millions of users engage with content and how advertisers achieve measurable results. To excel in this role, you will need: Advanced academic qualifications (MSc/PhD) with a robust foundation in machine learning, optimization, and statistical modeling. A minimum of 6 years of strong experience in Machine Learning Modeling. Expertise in Production-Grade Machine Learning Engineering. Experience in either managerial or technical leadership roles. A track record of driving measurable business outcomes through effective modeling. Proficiency in utilizing agent-based coding tools to expedite development, experimentation, and ensure high code quality in ML systems. Bonus points if you possess: Experience in Large-Scale Recommendation Systems. Your impact will be profound: Lead the design and progression of Taboola’s machine learning models. Oversee end-to-end ML delivery in production environments. Guide and nurture ML engineers within the team. Translate marketplace goals into effective modeling strategies. Contribute to the growth of Taboola's technology organization during this transformative era. Why choose Taboola? When you ask Taboolars about their experience here, they’ll share that they feel empowered to reach their full potential while learning alongside talented colleagues. They might also mention: Adam Singolda, Taboola’s Founder and CEO, emphasizes, “You can replicate anything from another business, but you cannot replicate a company’s culture.” Well-being: Enjoy extensive benefits (including health and more), a well-stocked kitchen, and location-specific perks (such as gym partnerships and parking). Flexibility: We provide a hybrid working schedule with three in-office days, offering the option to come in more frequently if preferred. Collaborate with industry leaders: Our publisher partners include Yahoo, Conde Nast, and Fox Sports.

Who We Are:Founded in 2016, K Health aims to revolutionize the healthcare landscape by making high-quality medical services accessible to everyone. As a pioneering clinical AI company focused on primary care, we have developed a suite of clinical AI agents that optimize provider efficiency and enhance patient outcomes. Our virtual primary care platform features an AI copilot that streamlines initial patient intakes, summarizes relevant information from electronic medical records (EMR), and generates comprehensive notes, thus significantly reducing the time our healthcare providers spend on administrative tasks. Unlike traditional virtual medicine companies, K Health offers holistic, continuous primary care in a digital environment, allowing our clinicians to function as genuine primary care providers while maintaining the integrity of their practice and continuity of care.As a venture-backed startup with nearly $400 million in funding and a $900 million valuation as of July 2024, K Health is uniquely positioned for enduring growth. We are expanding collaborations with major health systems such as Cedars-Sinai, Hackensack Meridian Health, and Hartford HealthCare, enhancing both accessibility and quality of care by merging human expertise with technological advancements. Our providers are credentialed at these prestigious health systems and strictly adhere to their clinical guidelines, ensuring patient-centered, evidence-based care. Fully integrated with Epic, our AI platform operates as a seamless extension of existing healthcare systems, leveraging a built-in network of specialists and social services to effectively serve diverse communities. Our distinctive care delivery model allows our providers to offer high-quality, accessible care to a mixed-payer population, including those with commercial insurance, Medicare, and Medicaid.Join us in our mission to create a smarter, simpler healthcare experience for the future - today!About the RoleWe are in search of a driven and skilled Machine Learning Platform Engineer to become a vital member of our innovative team.In this position, you will work collaboratively with data scientists and DevOps experts to design and develop the infrastructure, ecosystem libraries, and data pipelines that propel our data science initiatives. You will take charge of model development, monitoring, and maintenance, partnering closely with data scientists on a daily basis.If you are passionate about AI, machine learning, and producing high-quality code—and are eager to contribute to groundbreaking, impactful projects in the digital health space, we would love to hear from you!

At D-Fend Solutions, our people are our greatest asset and technology is our passion. Our team comprises innovators and experts, including seasoned veterans from elite military intelligence units, who are revolutionizing how organizations defend against drone threats.As a recognized leader in cyber-takeover counter-drone technology, we craft and deploy advanced, software-based solutions empowering our clients to accurately detect, seize control, and safely land unauthorized drones with unmatched precision and reliability.Every day, we challenge the limits of innovation to tackle real-world security issues across various industries and environments. We take pride in our cutting-edge technology, our global presence, and the significant role we play in safeguarding the skies.We are looking for dedicated professionals who flourish in a dynamic, creative, and collaborative setting—individuals who are eager to contribute to the next wave of airspace security innovation.Join D-Fend Solutions and assist in making the world a safer environment.Become a D-Fender! Collaborate with the leading provider of cyber-takeover counter-drone technology and help shape the future of secure airspace.The Opportunity We are launching a new ML/AI division that will report directly to the CTO, tasked with pioneering next-generation capabilities for our industry-leading defense systems. As the Founding ML-Engineering Lead, you will be the technical backbone of this initiative. This role is high-impact, tailored for a professional seeking complete technical ownership of the machine learning lifecycle. You will guide innovative AI projects from initial concept through data collection, design, implementation, evaluation, and ultimately to deployment.The Technical Challenge Our ML initiatives cover a wide technical spectrum. You will oversee projects that range from field-oriented applications, where accuracy and reliability are crucial, to research-driven tools and workflows designed to enhance our R&D capabilities, accelerating complex data analysis. By closely collaborating with our R&D teams, you will utilize unique, proprietary data to address challenges at the forefront of the counter-drone sector.

Who is Eleos Health?In today's world, more individuals are openly discussing their mental health than ever before. Addressing behavioral health is essential and no longer a stigma; it is a crucial aspect of human existence. At Eleos Health, we aspire to revolutionize behavioral healthcare through data-driven insights, precise measurements, and tailored approaches. In essence, our goal is to empower clinicians by providing them with the necessary support to perform their vital work.What is this opportunity?At Eleos, we are developing an innovative behavioral health CareOps automation platform that converts therapy dialogues into structured insights and clinical documentation. Our platform harnesses advanced Machine Learning (ML) and Large Language Model (LLM) technologies to enhance the quality of care, streamline therapists' workflows, and significantly cut down documentation time by over 50%.As a Senior Machine Learning Infrastructure Engineer, you will be responsible for architecting and constructing the infrastructure that drives our ML and LLM systems in production. You will create scalable pipelines, systems, and tools that empower our data scientists and AI teams to efficiently develop, test, and deploy models. By collaborating closely with data scientists, engineers, and product teams, you will ensure that our ML capabilities are dependable, scalable, and ready for production—ultimately bringing cutting-edge AI solutions to enhance mental health care.This is a unique chance to join a startup that positively impacts the wellbeing of thousands, applying advanced AI technologies to address significant human challenges.How will you contribute?Design and develop infrastructure and backend services that support ML and LLM systemsBuild and maintain ML training and deployment pipelinesCreate tools that facilitate model experimentation, versioning, and reproducibilityImplement CI/CD pipelines for ML workflows and model deploymentAssist with LLM deployment, prompt management, and optimization pipelinesEnhance the reliability, monitoring, and observability of ML systems in production

About Us Lightricks is an innovative AI-driven company dedicated to transforming imagination into reality. Our flagship technology, LTX-2, is an open-source generative video model designed to produce expressive, high-fidelity video content at remarkable speeds. This technology not only powers our acclaimed products but also supports a growing network of partners through API integrations. Our most popular products, including Facetune and LTX Studio, are utilized by hundreds of millions of users globally. We pride ourselves on merging deep research with user-centric design and comprehensive execution to shape the future of creative expression. Your Role As a Senior ML Software Engineer focused on low-level and CUDA optimizations, you will be instrumental in designing, enhancing, and scaling Lightricks' machine learning inference systems. You will tackle complex technical challenges at the intersection of GPU acceleration, systems architecture, and machine learning deployment. Your expertise in CUDA, C/C++, and performance tuning will be vital for improving runtime efficiency across diverse computing environments. You will collaborate with designers, researchers, and backend engineers to create production-grade ML pipelines optimized for latency, throughput, and memory usage, directly contributing to the infrastructure behind Lightricks' next-generation AI products. This position is perfect for an engineer with a strong systems-level mindset, extensive knowledge of GPU internals, and a desire to drive performance and efficiency boundaries in machine learning infrastructure.

Be a pivotal part of our R&D team as a Senior DevOps Engineer. You will have the opportunity to design and implement operational tools and processes for a highly scalable system that supports thousands of the busiest websites and applications globally, positioning us to become a crucial media backbone for the entire Internet.We pride ourselves on fostering a vibrant and supportive workplace where continuous learning and growth are encouraged, and where your innovative ideas are welcomed and pursued.

HoneycombAt Honeycomb, we are not just developing technology; we are transforming the insurance landscape.In 2025, Honeycomb was honored by Dun & Bradstreet as one of the Top 10 Best Start-Up Companies to Work For in Israel and recognized by LinkedIn as one of the Top 10 Startups in Chicago.What led us to achieve these accolades?Honeycomb is a fast-growing global startup, well-supported by prestigious investors and driven by an outstanding team of innovators, creators, and problem-solvers. With dual headquarters in Chicago and Tel Aviv (R&D center) and five offices across the U.S., we are revolutionizing the commercial real estate insurance sector, an industry ripe for disruption. Moreover, we ensure that every team member feels a strong connection to our mission and each other.With over $55 billion in insured assets, Honeycomb operates in more than 20 major states, covering 60% of the U.S. population and expanding our reach.If you seek an environment where innovation thrives, culture holds true meaning, and brilliant minds inspire you to elevate your skills every day, then Honeycomb could be the perfect fit for you.About The Role:We are seeking a Senior Machine Learning Platform Engineer to create and maintain the infrastructure that empowers our data science teams to deploy ML and GenAI systems into production. You will establish core functionalities such as data and feature pipelines, training and evaluation infrastructure, and model serving.What You’ll DoDevelop and manage backend systems and APIs that facilitate end-to-end ML workflows (data → training → deployment).Architect for performance, scalability, reliability, and cost-effectiveness in production ML settings.Construct infrastructure for LLM/agentic workflows (tool execution, retrieval, evaluation, observability).Collaborate closely with data scientists to enhance platform capabilities and developer experience.Foster Innovation: Continuously assess and integrate emerging infrastructure technologies to provide Honeycomb’s AI platform with a competitive advantage.

At Wayve, we are dedicated to fostering a diverse, equitable, and respectful culture that celebrates individual talents and perspectives. We welcome applicants from all backgrounds, irrespective of sex, race, religion, ethnic origin, disability, age, citizenship, marital status, sexual orientation, gender identity, veteran status, and any other protected characteristics as per the law.About UsEstablished in 2017, Wayve is at the forefront of Embodied AI technology development. Our cutting-edge AI software and foundational models empower vehicles to perceive, comprehend, and navigate intricate environments, thereby enhancing the usability and safety of automated driving systems.We envision a future where autonomy drives global progress. Our intelligent, mapless, and hardware-agnostic AI solutions are tailored for automakers, facilitating the shift from assisted to fully automated driving. In our dynamic setting, we are inspired by significant challenges—we confront uncertainties head-on to unlock innovative solutions. We maintain high standards while staying grounded in our pursuit of excellence, continually learning and evolving towards a smarter, safer future.Your contributions at Wayve will be impactful. We cherish diversity, welcome fresh viewpoints, and cultivate an inclusive workplace; we support one another to achieve meaningful results.Join Wayve and shape the trajectory of your career!

Join dev2 as a Machine Learning Scientist, where you'll leverage your expertise to develop innovative machine learning solutions. Collaborate with a dynamic team to drive projects that utilize cutting-edge technology and advanced algorithms. Your insights will be pivotal in shaping the future of our products and services.

About Tavily - Search APITavily is an innovative company dedicated to delivering a state-of-the-art Search API. We enable developers and businesses to access fast, reliable, and relevant search results. Join our dynamic team to contribute to building robust data infrastructure that enhances and scales our core product.The RoleWe are in search of a driven and skilled Data Engineer to join our expanding team. Your role will involve designing, building, testing, and maintaining highly scalable data management systems. You will collaborate closely with our engineering and DevOps teams to create and optimize the data pipelines essential for the functionality and accuracy of our Search API.ResponsibilitiesDesign, develop, and sustain efficient ETL/ELT pipelines for data warehousing.Enhance and maintain our data infrastructure.Guarantee data quality, integrity, and security across all data platforms.Optimize data systems for improved performance and scalability.Diagnose and resolve issues related to data pipelines and infrastructure.Work with cross-functional teams to understand data requirements and deliver effective solutions.Minimum QualificationsBachelor's degree in Computer Science, Statistics, Engineering, or a related quantitative field.3+ years of professional experience as a Data Engineer or in a similar role focused on data infrastructure.Strong proficiency in Python.Extensive experience with relational (SQL) and NoSQL databases.Familiarity with AWS and its various data services.Demonstrated experience in constructing and optimizing data pipelines and architectures.Preferred QualificationsExperience with MongoDB, Snowflake, Redis, S3 General, and S3 Express.Knowledge of big data technologies.Experience with Apache Airflow.Familiarity with containerization and orchestration tools such as Docker and Kubernetes.Background in companies focused on API services or search technology.

About TavilyAt Tavily, we are pioneering the foundational infrastructure for scalable agentic web interactions. Our API is meticulously crafted to enhance Retrieval-Augmented Generation (RAG) and facilitate real-time reasoning in AI systems. By linking large language models (LLMs) to high-quality, reliable web content, we empower developers to create agents that are not only intelligent but also well-informed.We collaborate with some of the most forward-thinking teams in the AI sector, ranging from dynamic startups to major enterprises implementing AI solutions at scale. Whether it’s enabling sales assistants, research copilots, or internal knowledge tools, we serve as the crucial bridge connecting LLMs to real-world applications.The Role: Software EngineerWe are seeking a talented Software Engineer to join our core engineering team and contribute to the development of one of the most rapidly expanding AI APIs. You will engage with systems that manage extensive scale through a distributed microservices architecture on AWS. Expect to deliver quickly, take ownership of vital systems, and tackle challenging infrastructure issues as we continue to grow.This position is ideal for an engineer passionate about constructing ambitious systems from the ground up and eager to address the scale and complexity challenges typically associated with much larger organizations.What You’ll DoDesign and develop high-performance distributed systems.Create and implement backend infrastructure and API endpoints.Build and optimize real-time data pipelines capable of processing billions of events daily across distributed queues and stream processors.Enhance performance, monitoring, and reliability across the technology stack.Take ownership of core systems and contribute to significant architectural decisions.Contribute to the development of a robust engineering culture emphasizing velocity and quality.What You BringA minimum of 5 years of professional software engineering experience.Strong backend development capabilities.Demonstrated expertise in designing and managing large-scale, distributed systems, with a comprehensive understanding of API design, reliability, and performance at scale.Hands-on experience with AWS infrastructure and cloud-native services, including practical knowledge of deploying and managing services in real-world scenarios.Ability to thrive in a fast-paced startup environment with constant challenges.

About UsWelcome to Redis, the company behind the technology that powers the world's fastest applications. Whether you're checking the weather, processing a credit card transaction, or tracking your flight status, Redis is at work making it happen. Join us as we revolutionize the tech landscape with speed and simplicity for our 10,000+ global customers.Your Role: Platform Engineer (DevOps)We are on the hunt for a skilled Platform Engineer (DevOps) to become a vital member of the Redis Core R&D Platform Engineering team. Your expertise will help us enhance and optimize our development platform, which we see as a product in its own right, essential for our innovation and growth.You will collaborate with our product teams, manage our build systems, and oversee both internal and open-source infrastructures, playing a pivotal role in our operational success.Why You'll Love Working HereAs a Platform Engineer at Redis, your work will directly influence our development platform's evolution, fostering an efficient and innovative culture. The solutions you help develop will serve thousands of customers, including some of the largest companies in the world.Key Responsibilities:Take ownership of and continuously enhance the build and CI systems for Redis Enterprise.Collaborate with software engineering teams to refine development pipelines and elevate the developer experience.Lead the charge for innovative solutions and processes within the platform engineering team.Proactively improve the security posture of Redis.Contribute to the design and architecture of distributed systems, ensuring they are scalable, secure, and maintainable.Optimize alerting and monitoring systems to ensure high availability and prompt response times.

Join our innovative team at dev2 as a Machine Learning Manager specializing in Content Intelligence. In this pivotal role, you will lead a talented group of data scientists and machine learning engineers to develop cutting-edge solutions that enhance content understanding and optimization. Your expertise in machine learning algorithms and leadership skills will drive the success of our projects, ensuring we stay at the forefront of technology.

About PayoneerEstablished in 2005, Payoneer is a leading global financial platform dedicated to eliminating barriers in international business. Our mission is to empower underserved businesses worldwide to thrive in the expanding global economy. With a diverse community of over 2,500 professionals across more than 190 countries, we are committed to enhancing the experience of our customers and partners.By streamlining complex financial workflows—from global payments and compliance to multi-currency management and workforce solutions—we equip businesses with the essential tools needed for efficient worldwide operations and confident growth.What You Will Do:Lead the design, evolution, and daily management of Payoneer’s CI/CD delivery platform utilized across R&D.

Join Vonage as a Full Stack Software Engineer and be part of an innovative team that is transforming the way people communicate. You will leverage your expertise in both front-end and back-end technologies to develop robust and scalable applications that meet the needs of our customers.

Jobgether seeks a Technical Support Engineer L2 to join the team in Israel. This role centers on providing technical support to clients and ensuring their issues are resolved promptly, helping to build and maintain strong customer relationships. Key responsibilities Respond to client inquiries and troubleshoot technical problems as they arise Collaborate directly with customers to resolve issues efficiently Help the team uphold high service standards What we look for Background in technical support or a related area Strong problem-solving abilities Interest in both technology and customer service Location This position is based in Israel.

jobgether seeks a Senior Backend Engineer for a B2B contract role in Israel. This position centers on building and maintaining the backend systems that drive the company’s business-to-business services. Key responsibilities Develop and maintain backend infrastructure to support core business services. Collaborate with teams across the company to design solutions that scale. Optimize backend systems for performance and reliability. Requirements Strong understanding of backend technologies and cloud-based services. Experience applying established software development practices. Ability to work well with both technical and non-technical colleagues. Contract details This is a B2B contract position located in Israel.

About UsAt Redis, we are pioneers in building the technology that powers the swift applications our world relies on daily. Whether you've checked the weather, made a purchase online, or tracked your flight status, our solutions have contributed to those experiences. Join us as we lead the charge in creating a faster, simpler world through our cutting-edge technology.Why You'll Love This RoleAs an Account Executive at Redis, you'll be instrumental in promoting Redis Enterprise, a database celebrated globally for its speed and reliability. This platform is the backbone for critical applications, from real-time inventory systems to advanced AI solutions. Your efforts will directly impact how organizations transform their data layers to enhance customer experiences.We seek a driven, collaborative individual who thrives in a dynamic environment and is eager to contribute to a rapidly growing company. You will manage a portfolio of prestigious brands in your territory, guiding them through the implementation of enterprise-grade Redis solutions. It's a challenging role, but one that is immensely rewarding. We value work-life balance and prioritize the well-being of our team members.If you are a proactive new business hunter with a passion for expanding business opportunities and owning your territory, we want to hear from you!Your ResponsibilitiesDevelop and implement a strategic sales plan to fuel revenue growth within your designated territory.Identify, qualify, and nurture a strong sales pipeline in collaboration with internal teams.Achieve and surpass monthly, quarterly, and annual sales targets.Foster robust relationships with customers at the Executive, IT leadership, and Developer levels, delivering exceptional value and support.