Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.

A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more

What you'll do:
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.

We are seeking an experienced Data Platform Engineer to join our Storage Analytics team. You will design and build data solutions that provide critical insights into storage performance and usage across Apple's entire device ecosystem.
Description:
Working with large-scale telemetry data from millions of Apple devices worldwide, you'll support multiple CoreOS Storage teams, including Software Update, Backup/Restore/Migration, Storage Attribution, and other storage domains.
Responsibilities
Design, build, and maintain scalable data processing infrastructure to handle large-scale telemetry from Apple's global device fleet
Develop highly scalable data pipelines to ingest and process storage performance metrics, usage patterns, and system telemetry with actionable alerting and anomaly detection
Build and maintain robust data platforms and ETL frameworks that enable CoreOS Storage teams to access, process, and derive insights from storage telemetry data
Engineer automated data delivery systems and APIs that serve processed storage metrics to various engineering teams across different storage domains

Are you a passionate Applied Scientist ready to make a global impact? Join our elite AI and data science team.
If you are a talented Applied Scientist with strong technical skills, a passion for turning data and research into real-world impact, and the ambition to design, experiment, and ship innovative ML and AI solutions, we would love to talk to you!
In our team, you will:
Develop ML models to detect and disrupt cyberattacks.
Collaborate with security experts to incorporate domain knowledge into ML solutions.
Work with truly large-scale data to create and refine high-quality training datasets.
Deploy ML models into production, monitor their performance, and continuously improve them.
Stay up to date with the latest advancements in ML/AI and apply them to complex cybersecurity challenges.

You will join the R&D team building the next generation of our AI-powered metadata and context management. This system is the backbone that enables instant, actionable answers via our MCP and agentic use cases by translating complex business questions into secure, cost-aware data queries.

This is a high-impact, data-intensive role requiring production-grade backend development expertise, focused on quality, governance, and low-latency retrieval across complex data sources.

What youll do:
This role focuses on the end-to-end backend development and engineering quality for our core AI retrieval plane:
Design and Scale Context Retrieval: Develop and deploy services for our hybrid RAG/GraphRAG systems, combining lexical and vector search on data from various sources.
Implement Governance Gates: Build mission-critical backend logic to enforce data security policies, ensuring customer data and internal business data are filtered, masked, or isolated based on policy tags before context is ever generated.
Own the Quality Lifecycle: Design and implement automated evaluation to continuously measure the precision, recall, and faithfulness of the retrieved context against golden metrics.
Optimize Performance and Cost: Architect backend solutions for performance, including designing semantic caching strategies, memory, and context compression.
Data Modeling & APIs: Contribute to the graph model and APIs for retrieving metadata (glossary terms, lineage, schemas), enabling sophisticated context assembly for the agent.
Full Observability: Implement comprehensive tracing and monitoring for every agent component and tool call, ensuring high service reliability and quick root-cause analysis.

We are looking for AI Engineer to join the Data Science team.
As an AI Engineer in the Data Science team, you will be working closely with applied researchers on model optimizations, GPU and hardware, language-model optimizations in the Video and Language domains and more. 
Your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies.
You will be expected to break down problems, learn and develop, have an open mind, and have ownership all the way to production. Working in a multi-disciplinary team will require excellent communication skills and at the heart of it all, alignment with values and endless curiousness.

We are seeking a talented Image Processing Engineer to join our team. The job will focus on developing deep learning solutions for image restoration in new imaging systems. You will be part of an interdisciplinary team driving products.
Description:
Deep learning development:
Design, implement, and optimize deep learning models for various tasks in the field of Image restoration. Implement and validate models using various data sets.
Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
Analyze the results of your algorithm and compare with other leading methods.
Optimize models for real-time performance and resource efficiency.
Research:
Explore how algorithm approaches can mitigate artifacts of new imaging systems.
Investigate sensor fusion techniques for these applications.
Stay updated with recent advancements in the field.
Collaboration:
Work in sync with interdisciplinary teams of SW, HW and Camera Architecture engineers.
Integrate models into larger products or research studies.

We are looking for an experienced DevOps Engineer to be a part of our team!

We are located in Herzliya and work in a hybrid work mode.

Manage and optimize Kubernetes clusters on OCI to ensure high availability and scalability of applications.
Collaborate closely with R&D and Data teams to align infrastructure solutions with business objectives.
Develop and maintain infrastructure as code using tools like Terraform, АrgoCD.
Design, implement, and maintain CI/CD pipelines using Gitlab CI for various projects.
Fix and resolve issues in development, test, and production environments.
Take part in on-call support during off-hours.

We are looking for a Azure Solution Specialist.
You will serve as the technical sales leader in customer engagements: defining win strategies, shaping architectures, orchestrating proof of concepts (POCs) and workshops, and positioning Azure as the platform of choice. By combining technical credibility, business insight, and market awareness, you will enable startups and ISVs to scale securely, rapidly, and innovatively on Azure.
Responsibilities:
Customer Engagement- Lead technical sales strategy with digital native customers, aligning Azure capabilities to their innovation roadmaps and growth priorities.
- Build trusted relationships with CTOs, engineering leaders, and decision-makers, positioning as a strategic partner.
- Translate business challenges into technical solution architectures, showing how Azure can accelerate product delivery, optimize costs, and enable AI-driven innovation.
- Co-create customer success plans and ensure technical adoption milestones are achieved.
- Guide customers through migration, modernization, data & AI, and security adoption journeys.Sales & Pipeline Management- Define and drive technical win strategies for complex opportunities, orchestrating technical resources (Customer Engineers, Architects, ISD, and Partners).
- Ensure architecture design sessions, POCs, and technical workshops are delivered with customers not directly by you, but through orchestration of the right resources achieving the required technical outcomes.
- Maintain strong pipeline discipline and forecast accuracy, tracking both technical progress and business metrics (consumption, usage, renewals).
- Identify and prioritize whitespace opportunities using AI-driven insights, customer usage data, and market trends.Sales Strategy & Market Development (SSP Focused)- Act as the technical thought leader for Azure in the digital native and startup ecosystem.
- Differentiate Azure from AWS/GCP in technical discussions demonstrating superior security, performance, cost optimization, and AI integration.
- Provide technical depth in cloud-native architectures (containers, Kubernetes, serverless), data & AI platforms, and application modernization.
- Stay ahead of emerging technologies and startup ecosystem trends (open-source adoption, VC-backed growth models, AI innovation) to proactively guide customers.
- Represent at startup community events, accelerators, and ISV forums, reinforcing Azures position as the preferred technical platform.
- Act as a trusted advisor, bringing business-contextualized technical insights to help customers balance speed, innovation, and governance.

Were looking for an experienced Team Leader to join our growing R&D.
We use Java to develop our backend and use the latest AWS services for development and production environments.
You will:
Hire, mentor, and grow a full-stack agile engineering team, fostering a culture of technical excellence and innovation
Take a hands-on approach in developing the tools and infrastructure for our data processes
Work closely with product team to understand and define requirements
Manage your team tasks and ensure quality and timely execution using agile methodologies
Keep up-to-date on the latest techniques in management, development, and testing