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As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Machine Learning Engineer Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding

Power the Future with us! we are a global leader in high-performance smart energy technology, with over 3000 employees, offices in 33 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery Storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive. The Embedded Infrastructure Team builds and maintains the shared Embedded software foundations used across the department. We develop reusable code and core technologies that enable multiple projects and teams to succeed, while spearheading the adoption of new technologies within the organization. By providing a robust, scalable base, we empower product teams to move faster with confidence. Key Responsibilities
* Develop and maintain Embedded software for a cross-platform SDK at the core of our company Embedded products.
* Develop bootloaders, drivers, bare-metal, and RTOS-based firmware for ARM & ARC processors.
* Collaborate across software, hardware, and architecture teams to develop and integrate features, from design through implementation and system -level validation.
* Participate in design reviews/code reviews and develop high-quality code following best practices, including unit tests and automated system tests.
* Define and improve development environments and build flows that enable efficiency and flexibility across all teams.
* Navigate a hardware-oriented environment encompassing chip bring-up, physical device integration, complex troubleshooting, and software-hardware validation.
* Apply AI-driven tools and methodologies to accelerate development and enhance code quality.
Country:
Israel
City:
Herzliya

we are In this role, you will translate complex business objectives into scalable technical implementations using Meta's suite of advertising APIs, measurement solutions, and data integration tools. You will partner closely with sales and client teams to design end-to-end solutions that drive measurable marketing outcomes, helping some of the world's largest advertisers unlock the full potential of Meta's platform at scale.
Solutions Architect - (12 Month Contract) Responsibilities
Serve as a technical subject matter expert on Meta's advertising platform, including APIs, measurement frameworks, and data integration solutions, for enterprise clients and partners
Design and recommend scalable technical architectures that align client business goals with Meta's marketing technology capabilities
Collaborate with sales teams to identify and develop new opportunities by diagnosing technical gaps and proposing solutions tailored to client needs
Guide clients through end-to-end implementation of advertising APIs, pixel and conversion tracking, and data connectivity solutions
Analyze complex client business challenges and propose solutions grounded in Meta's platform capabilities and industry best practices
Build and maintain cross-functional relationships with product, engineering, and partner teams to advocate for client needs and influence platform improvements
Develop and deliver technical presentations, solution blueprints, and documentation for audiences ranging from engineers to marketing executives
Prioritize and manage multiple client engagements simultaneously, aligning deliverables to short, mid, and long-term business goals
Provide technical guidance to peers and contribute to onboarding and knowledge-sharing practices within the solutions architecture team
Leverage AI-integrated workflows to accelerate solution design, documentation, and client analysis, sharing learnings to scale adoption across the team

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk . The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Metas risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Metas financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work

We are looking for a Senior Enterprise Architect - Core Payments Processing to join our Architecture team. Reporting to the VP of Architecture, you will play a key role in shaping and delivering the architecture of next-generation payment processing platforms.
In this role, you will be responsible for designing and guiding the implementation of highly scalable, resilient, and secure transaction-processing systems supporting global payment operations. You will work closely with Product, Engineering, DevOps, Security, and Data teams to translate complex business requirements into robust technical solutions.
This role requires deep experience in real-time distributed systems, fintech/payment platforms, and modernization of large-scale systems, as well as the ability to influence cross-functional teams and ensure architectural integrity throughout delivery.
You will help evolve platform by balancing long-term architecture strategy with pragmatic delivery, enabling the company to scale its global payment capabilities while maintaining reliability, compliance, and operational excellence.

We are looking for a Senior Full Stack Developer to join our fast-growing team. You will report to the Full Stack Team Leader and play a key role in contributing to our teams ongoing success and growth.
Responsibilities :
Design, develop, and maintain high-performance web applications using React and TypeScript, incorporating advanced AI features into the user experience.
Building and optimizing robust backend APIs to support payment workflows, including multi-agent state management and LLM lifecycle governance.
Collaborate cross-functionally with product managers, architects, DevOps, and UX/UI designers to translate business requirements into comprehensive, scalable solutions.
Drive development efficiency by leveraging AI-assisted tools to improve code velocity, consistency, and overall system reliability.

We are looking for a Security Researcher to join our team; an enthusiastic, autodidact who is passionate about analyzing vulnerabilities and malware techniques.
He/she will build offensive breach scenarios, integrating the latest security knowledge into the SafeBreach platform of threats and 1-day exploits.

we are looking for a AI Engineer.
Our R&D teams build and own the features that power platform - from deep code analysis to risk detection to developer-facing workflows. AI isn't a separate initiative here; it's how we build. Every engineering team is actively embedding LLMs, AI agents, and generative AI into the products they own, moving from experimentation to production and keeping things running reliably once they're there.
What You Will Do
Build and ship end-to-end AI-driven features and agentic workflows- from experimentation through validation to production deployment (Python and C#).
Design scalable backend services that support production-grade agentic AI capabilities.
Develop and improve solutions powered by LLMs, AI agents, multi-agent systems, and generative AI frameworks.
Evaluate agentic architectures and model performance, owning monitoring, reliability, and continuous improvement in production.
Collaborate cross-functionally with software engineers, data scientists, and analysts to drive AI innovation across the platform.

we are looking for a Software Engineer.
Our Engineering team builds the platform that powers Apiiro's mission: giving development teams the risk context to ship fast and stay secure. We work across a rich technical stack - from deep code analysis engines to customer-facing features - and take full ownership of what we build, from architecture to production. We move fast, collaborate closely with product and customers, and aren't afraid to tackle hard problems.
What You Will Do:
Build robust, scalable systems using a mix of languages, frameworks, and machine learning models, taking full ownership of features from idea to live product.
Collaborate directly with customers to understand their needs and integrate valuable insights into your work.
Drive cross-disciplinary initiatives across tech domains - from DevOps and infrastructure to data engineering and full-stack development - expanding your impact company-wide.
Partner with product and research teams to deliver innovative security capabilities that make a real difference for development teams.

HW Application Engineer - Job description: we are a leading supplier of microcontrollers and security hardware solutions for tier-1 customers in the computing and servers business. It is a self-contained design center, spanning from product management, system and chip architecture, through design, software development, system engineering and production. The group works closely with major customers, primarily key OEMs in the computing space, to develop semi-custom, innovative solutions for a wide range of application platforms. We are looking for a Hardware Application Engineer, to maintain and support our strong collaboration with our customers.
What You Will Be Doing
* Lead customers through all stages of designing their systems based on Nuvoton manageability and security microcontrollers (i.e., BMC, EC, SIO and TPM) from planning till production.
* Respond and resolve customer hardware related issues and requests, reported by the regional support team (FAEs) or directly by customers.
* Work closely with R&D, architects and PMs to provide issue resolutions, workarounds, and implement product features or support tools.
* Key contributor in complex debug tasks for issues found by customers; build debug strategies and hands-on work with the design team through the debug.
* Develop deep knowledge of customer applications and systems, recommend application solutions, design ideas and products to customer design teams.
* Develop and maintain technical documentation (e.g., reference schematics, application notes, design guidelines).
* Provide inputs and participate in next generation ICs definition based on customer inputs.
* Contribute to the definition of innovative and differentiated products.

Kendago is on a mission to redefine how consumers go from noticing a need to buying the right solution online. In an internet shaped by AI, fragmented attention, and constantly shifting platforms, we build, own, and scale top-performing brands and offers - both our own and those of leading partners — by combining proprietary technology, data-driven decision making, and creative excellence at performance scale. We operate at consumer scale, reaching millions of people every day across paid channels, owned funnels, and digital touchpoints. In a world where creative trends, consumer behavior, and platform algorithms shift overnight, Kendago stays ahead of the curve. We move fast, think deeply, and build with purpose. Our culture is rooted in entrepreneurship, innovation, and collaboration - along with shared wins, team dinners, and a whole lot of good food and laughter. We’re a team of doers, and boundary-breakers - product, data, R&D, growth, and creative talent who own the full stack of how consumer brands are built and scaled today. After 17 years in the game, every funnel, every test, every brand decision happens in-house - which means your work moves the needle directly and visibly. If you’re ready to tackle meaningful challenges, grow at lightning speed, and help shape the next frontier of consumer brand building, you belong here. ABOUT THE ROLE We are looking for a Senior Data Engineer with strong Python expertise and extensive experience building large-scale, distributed data systems You will play a key role in developing our next-generation data platform, building integrations with external data sources, and designing the services and pipelines that collect, process, and serve large volumes of data across our product. You will own systems throughout their full lifecycle — from system design and hands-on development to deployment, scalability, and production monitoring — while contributing to technical decisions and working closely with the team on building reliable, high-performance data solutions. Our Office is located in Kiryat Ono. This is a hybrid position, including two work-from-home days per week, with flexibility .?

Responsibilities:
Build and improve data-collection and processing workflows, including scheduled, asynchronous, and long-running workloads. Develop reliable integrations with external APIs, platforms, and data providers. Design, build, and maintain backend services using Python and FastAPI
Contribute to our new platform and capabilities such as algorithm execution and data collection orchestration. Design efficient data models and queries for operational databases and analytical systems such as Amazon Redshift. Handle real-world integration challenges including rate limits, retries, partial failures, idempotency, and changing external schemas. Improve the performance, scalability, observability, and reliability of existing services. Own features end to end: technical design, implementation, testing, deployment, monitoring, and ongoing improvement. Collaborate with product and engineering colleagues to turn ambiguous requirements into pragmatic technical solutions.

Biz Dev:
R&D

Remote/Part time:
Hybrid

We are looking for a motivated, and results-driven leader to drive our SDR team to success. As the SDR Manager, you will play a key role in establishing processes and work standards globally, in line with our Go-To-Market strategy.
This role reports to the VP Marketing and works closely with the Sales and Marketing teams to maximize pipeline generation.
What Youll Do:
Understand the needs of prospects and guide the SDRs on how to communicate with them effectiely
Establish and document SDR processes and qualification criteria in line with organizational lead lifecycle processes to ensure predictable conversion rates
Manage and optimize inbound and outbound tactics (email sequences, LinkedIn outreach, cold calling, etc.) to generate new opportunities
Measure and track the progression of inbound and outbound lead generation efforts and opportunities through the sales funnel

We are looking for an experienced Senior Product Manager to join our growing Product team. This role combines strong product ownership, deep technical expertise, and customer-facing capabilities. The ideal candidate is a versatile, hands-on professional who can bridge customer needs, business requirements, and complex technical solutions.
This position is ideal for someone with a strong background in Networking and Cyber Security, who enjoys working across product discovery, engineering execution, customer engagements, and go-to-market activities. The successful candidate will be comfortable operating in a fast-paced, high-growth environment, managing multiple initiatives, and collaborating with teams across the organization.
Responsibilities:
Own product initiatives end-to-end, from discovery and requirements definition through execution, delivery, and adoption
Drive both inbound and outbound product management activities, including roadmap definition, customer feedback analysis, market understanding, and go-to-market collaboration
Translate complex customer and business requirements into clear product specifications, including PRDs, user stories, acceptance criteria, and prioritized backlogs
Work closely with R&D teams to define solutions, review technical designs, discuss architecture trade-offs, and ensure secure-by-default product decisions
Act as a technical product expert during customer engagements, supporting pre-sales activities, product demonstrations, technical discussions, and strategic customer meetings
Collaborate with Sales, Solution Engineering, Customer Success, and Product Marketing teams to enable customer-facing activities, technical collateral creation, and successful product launches
Create and maintain high-quality technical documentation, including solution briefs, use cases, technical specifications, architecture overviews, knowledge base articles, API documentation, and customer-facing technical materials
Partner with UX teams on user flows, discovery, and delivering intuitive product experiences
Identify opportunities to enhance and expand platform capabilities across multiple cybersecurity domains
Leverage AI tools to improve product workflows, technical research, documentation, analysis, and overall productivity
Manage multiple projects and priorities simultaneously while maintaining focus on business impact and customer value