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We are always looking for exceptional talent to join us on the journey!
Your Mission:
As part of OCC Monitoring team, you will help ensure the stability and continuity of our global payment services. You will monitor production environment and payment activity, identify unusual behaviour or service interruptions, perform initial investigations and coordinate with the relevant teams until each incident is resolved. This is an excellent entry-level opportunity for students and recent graduates who are analytical, curious, responsible and interested in building a career in fintech and technology operations. You will gain hands-on experience with global, business-critical payment systems, investigate incidents in real time, analyse transaction data and collaborate with technical and business teams around the world.
Responsibilities:
Monitor payment activity, production systems and business-critical processes in real time.
Identify unusual trends, transaction failures, service interruptions and technical issues.
Perform initial investigations using monitoring tools, dashboards and data.
Respond to operational and technical incidents quickly and accurately.
Coordinate incident resolution with technical, operational and business teams globally.
Track incidents from identification through resolution and ensure that the relevant stakeholders are updated.
Analyse data to identify recurring issues, patterns and potential service risks.
Document incidents, investigations and actions taken.

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

?Job Description and Responsibilities
* Perform initial fault diagnosis and troubleshooting of electronic products, including basic component-level debugging, with guidance from experienced team members.
* Program and TEST electro-mechanical products according to established procedures.
* Document TEST results and identified faults, escalating complex issues as needed.
* Collaborate with the production team to ensure product quality and efficient work processes.
* Configurate and TEST complex products and/or those requiring knowledge and/or Electronics Practical Engineer certification.

Reports to:
Production Manager

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 AI Research Engineer, Security.
Our Research team operates like a startup inside : strategic, high-ownership, and working directly with leadership. We drive the innovation behind AI-native platform, researching and prototyping the next generation of capabilities and guiding both product and go-to-market teams in bringing them to customers. We work at the edge of the security industry, envisioning and building first-of-their-kind, category-defining agentic development security solutions.
What You Will Do:
Research and prototype novel approaches to application security that go beyond traditional AppSec tooling.
Build proofs-of-concept for advanced prevention, detection, triage, and remediation capabilities.
Design experiments and validate new security features through data-driven testing.
Partner with product and engineering to bring successful POCs into the core platform.
Evaluate and optimize LLM-based agents and model outputs for security use cases.

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.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. If you have a strong background in NPI processes, experience in PLM, strong self-learning capabilities, and leading tasks E2E, we’d like to meet you! The NPI engineer will be responsible for the configuration control of INFINIDAT products, and all aspects of NPI processes.

Responsibilities:

* Building and managing Production files: BOMs, Product documentation, working instructions, and drawings.
* Transfer to Production of new products - Full NPI processes.
* Conducting and implementing product changes (ECOs, deviations) and configuration control, managing product lifecycle E2E.
* Ongoing technical support at FTK sub-contractor's production line sites (IL and US) with existing and new products, an initiative for production line continuous improvement.
* Lead the company certifications and compliance maintenance -International and sustainability.
* Work closely with various departments in the company to define manufacturing procedures.

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.

DRS RADA Technologies , a leading defense company developing and manufacturing life-saving radar systems, is seeking a Complaints & RMA Engineer for its Beit She’an manufacturing facility. The Customer Complaints & RMA Engineer is responsible for the engineering aspects of customer complaints and Returned Material Authorization (RMA) processes. The role involves conducting failure Analysis, performing root cause analysis, leading corrective and preventive actions, and driving continuous improvement of product quality and reliability. The position requires close collaboration with cross-functional teams and customers worldwide to ensure professional, rapid, and effective resolution of quality issues. Responsibilities
* Conduct failure investigations for products returned through RMA processes and customer complaints.
* Analyze product failures using engineering tools and methodologies to identify root causes (Root Cause Analysis).
* Define and lead Corrective and Preventive Actions (CAPA) in collaboration with Engineering, Manufacturing, Quality, and Purchasing teams.
* Prepare detailed failure analysis reports, document findings, and present conclusions to relevant stakeholders.
* Provide engineering ownership of customer complaint investigations through to technical closure.
* Communicate with customers in Israel and internationally, presenting investigation results and providing technical recommendations.
* Support NCR, MRB, and quality investigation processes as required.
* Analyze recurring failure trends and lead initiatives to improve product quality and reliability.
* Coordinate with testing laboratories, suppliers, and subcontractors to perform testing and validate findings.
* Participate in internal and external quality audits as required.
* Ensure compliance with company procedures, quality standards, and applicable regulatory requirements.

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