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What you will do
You will lead a team of experienced Data Scientists while remaining deeply involved in the technical work.

This is a hands-on leadership role (~70% hands-on) combining direct modeling work with ownership of team direction and execution.

You will work on core systems that operate at a massive scale, where:

Data is abundant, but labels are scarce and expensive

problems are long-tail and ambiguous

Systems must meet strict latency and cost constraints (pre-bid)

Your responsibilities include:

Lead development of content classification systems across social platforms (Meta, TikTok, YouTube), web, and apps

Design and build models across computer vision, NLP, and multimodal pipelines

Own the full lifecycle: data selection -> labeling strategy -> training -> evaluation -> deployment

Develop strategies for efficient data curation and labeling (active learning, auto-labeling, sampling under scale)

Improve model quality (precision/recall) while balancing cost, latency, and scale

Drive automation systems (auto-labeling, auto-curation, retraining loops)

Apply modern AI approaches (LLMs, embeddings, foundation models) to real production problems

Lead and mentor a team of senior Data Scientists, setting technical direction and pushing execution forward

Work closely with ML Engineering, Product, and Policy to translate ambiguous requirements into scalable systems

We are a global, multi-national team looking for a C++ Software Developer, who wants to join our journey of developing state-of-the-art surgical training simulators.
This position will be based in our office in Israel (Airport City), reporting to Team Leader.
Job summary:
With your C++ skills you will be creating realistic simulations in a global, distributed team.
Together with your team you will be enabling efficient training of healthcare professionals.
With our team, you will be working with leading medical manufacturers in shaping the future training of healthcare professionals.

we are looking for a Software Principal Engineer.
Key Responsibilities :
As a Principal Software Engineer, you will:
Design, develop, and own complex software features - from requirements and design through implementation, testing, and long-term support.
Build high-performance datapath software on SPDK, integrating emerging drive, enclosure, and protocol technologies.
Own performance analysis of the storage software data path - including queueing behavior, CPU efficiency, memory usage, PCIe bottlenecks, and latency behavior.
Work closely with architecture, hardware, and software teams on HW/SW interface definition.
Experiment with and integrate emerging AI tools into the development workflow to boost productivity and innovation.
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As an AI Product Owner & AI Process and Agentic Designer, you will own the process of transforming complex workflows into scalable AI solutions, bridging the gap between business stakeholders and AI Engineers. You will lead business process analysis, identify agentic process opportunities, validate business value, and define solution designs that enable successful AI implementation across the organization.

Responsibilities

Business Process Analysis & Discovery
Partner with business stakeholders to map, document, and analyze existing workflows, identifying inefficiencies, bottlenecks, and manual processes ripe for automation.
Conduct discovery sessions and workshops to deeply understand business needs, pain points, and success criteria across departments.
Agentic Opportunity Identification
Evaluate workflows to pinpoint where agentic and AI-driven approaches can deliver the most value, distinguishing tasks suited to automation, augmentation, or full agentic orchestration.
Maintain a prioritized pipeline of AI/agentic opportunities, assessing each for feasibility, complexity, and impact.
Business Value Validation
Define and quantify the expected business value of proposed solutions (e.g., cost savings, time reduction, quality improvement, revenue impact) and build the business case for investment.
Establish success metrics and KPIs, and track realized value post-implementation to ensure outcomes match projections.
Solution Design & Definition
Translate business requirements into clear solution designs, including agentic process flows, decision logic, data inputs/outputs, integration points, and human-in-the-loop checkpoints.
Define guardrails, escalation paths, and fallback behaviors to ensure solutions operate safely and reliably.
Stakeholder & Engineering Bridging
Serve as the primary liaison between business stakeholders and AI engineers, translating business intent into technical requirements and engineering constraints back into business terms.
Own the product backlog, prioritize features, and clearly communicate scope, trade-offs, and timelines to all parties.
Implementation Enablement & Iteration
Guide solutions through the full lifecycle from concept to deployment, supporting testing, validation, and change management.
Gather feedback, monitor performance, and drive continuous refinement of deployed AI and agentic solutions.
Scalability & Standardization
Identify reusable patterns, components, and best practices to scale successful solutions across the organization.
Contribute to governance frameworks, documentation standards, and design principles for AI/agentic product development.

we are seeking an experienced and visionary ML Engineer to join our dynamic technology organization. The successful candidate will be a part of a team of talented AI Engineers, Building agentic AI solutions, driving innovation and delivering business value through advanced Generative AI solutions & machine learning techniques. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge Gen AI and LLM methodologies and a passion for continuous learning and development.

Responsibilities

Build the solution: Own end-to-end technical delivery of agentic systems, from source-system integration through agent design, development, evaluation, and production deployment.
Integrate AI systems with source systems (Salesforce, Databricks, Splunk, internal APIs, business applications). Handle agent harness and orchestration.
Handle the operational handover to the business function and any necessary support transition.
Collaborate across teams: Partner closely with data engineering, platform, security, and business teams to align on requirements, dependencies, and integration points.
Engage stakeholders: Gather requirements directly from business functions, communicate technical trade-offs clearly, and keep stakeholders informed on progress, risks, and timelines.
Uphold quality and reliability: Establish and maintain best practices for code quality, testing, evaluation, monitoring, and observability of deployed AI systems.
Contribute to the team's technical growth through knowledge-sharing and help shape engineering standards and reusable patterns.
Stay current: Continuously evaluate emerging Gen AI, LLM, and agentic frameworks, and recommend tools and approaches that improve delivery speed and solution quality.

we are looking for a Software Engineer Technical Leader.
As a Software Engineering Technical Leader, you will drive the technical vision and execution for complex security policy and access solutions that safeguard enterprise networks globally.
You will leverage your deep expertise in systems programming using C, C++, and Java to architect and develop robust, scalable software. By providing technical leadership, you will mentor peers, guide architectural decisions, and foster a culture of innovation and continuous improvement within the team. Your work will directly contribute to mission by ensuring our network access solutions are secure, programmable, and highly reliable. You will also champion software programmability and integrate automation and orchestration practices to streamline development and enhance product performance, ultimately empowering our customers to connect with confidence.

We are excited to announce that the Cisco Silicon One team is undergoing rapid growth, and we are looking for a C++ Software Developer.
Meet the Team:
Join the Cisco Silicon One team developing a unified silicon architecture for web-scale and service provider networks. Cisco's silicon team provides an outstanding, unique experience for ASIC and Software engineers by combining the resources offered by a sizable multi-geography silicon organization with the startup culture and breadth of growth opportunities that working in a smaller team can provide.
Your Impact:
Craft and develop software driving the world's most complex infrastructures
Gain intimate knowledge of world-class silicon and programming models
Work with architecture and design teams to define the next generation of ASIC products being developed

we are seeking a highly motivated and experienced Senior Software Engineer for a position focused on developing innovative network device monitoring and visualization solution.
Meet the Team:
This position is part of organization, based in Israel. Silicon One is the foundation of industry-leading networking hardware products, pushing the boundaries of technology and driving the next generation of high-performance, scalable solutions.
Your Impact:
Design and develop visualization capabilities within our SDK environment
Lead the development of a brand-new comprehensive self-monitoring system for network devices from the ground up
Implement a comprehensive model for capturing and managing network state information
Drive cross-team collaboration and technical strategy
Work closely with senior technical leadership
Create and refine technical requirements and system designs
Build new systems and frameworks from the ground up

Join our architecture team, the core of silicon development .
Our architects manage all aspects of system chip development and provide specifications to various development teams. In this role you will:
Define the features and specifications of future devices.
Utilize a data-driven approach to model and analyze networks of tomorrow, providing optimal solutions for our customers.
Model, analyze, and present simulation results for cutting-edge networking solutions across various use cases.
Apply strong networking research skills and a robust theoretical background to your work.

we are seeking a highly motivated and experienced Senior Software Engineer for a position focused on developing innovative network device monitoring and visualization solution.
Meet the Team:
This position is part of Silicon One organization, based in Israel. Silicon One is the foundation of industry-leading networking hardware products, pushing the boundaries of technology and driving the next generation of high-performance, scalable solutions.
Your Impact:
Design and develop visualization capabilities within our SDK environment
Lead the development of a brand-new comprehensive self-monitoring system for network devices from the ground up
Implement a comprehensive model for capturing and managing network state information
Drive cross-team collaboration and technical strategy
Work closely with senior technical leadership
Create and refine technical requirements and system designs
Build new systems and frameworks from the ground up

We are looking for a talented Development Engineer to join our team and take part in building innovative software solutions in a dynamic and challenging environment.

Location: Ramat Hachayal, Tel Aviv. Hybrid option once a week.

We are looking for talented Software Development Engineers to join our teams in Tel Aviv or Haifa and work on low-level software development. You will be building the foundational software layers that sit closest to the hardware - enabling high performance, reliability, and efficiency for AWS services at an unprecedented scale.

This is an opportunity to work in a deeply technical environment where your code runs on custom-designed silicon, directly impacting the performance and cost of cloud infrastructure used by millions of customers worldwide.

Design, develop, and optimize low-level software including device drivers, firmware, and hardware abstraction layers.

Collaborate closely with hardware design teams to define hardware-software interfaces and bring-up new silicon.

Write performance-critical systems software in C/C++ that operates under strict latency and resource constraints.

Debug complex hardware-software interactions.

Contribute to system architecture decisions and define software design patterns for next-gen chip features.

Develop and maintain automated test frameworks to validate functionality and performance at scale.

Participate in code reviews and drive engineering best practices within the team.

We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

Key job responsibilities
- Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
- Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
- Participate in code reviews and contribute to technical documentation.
- Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
- Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
- Write clean, maintainable code following best practices and design patterns.
- Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
- Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.

We are looking for Software Automation Engineer to help us develop a semiconductor platform based on a revolutionary architecture.

Take part in the development of products within a disruptive system architecture. Youll have the opportunity to work in a dynamic, open, fast-paced environment, developing the technologies that power the worlds largest cloud provider. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world.

Key job responsibilities
As Software Automation Engineer, you'll be responsible for creating ML (Machine learning) and HPC (High performance computing) automation and tools, create CI/CD flows and implement effective dashboards with high scale.

Required Software Engineer, ML (Technical Leadership)
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 our 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 our 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 our risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and our 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
Identify and Initiate New Business Opportunities: - Collaborate with our 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.