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We are looking for a highly skilled ML/Perception Engineer to take ownership of our vision pipeline - from data to deployed models running on embedded systems.

This role is focused on building perception systems that actually work in the field, under real-world constraints.

What You'll Do
Own the full perception pipeline: data → training → evaluation → deployment
Develop and improve detection and segmentation models using RGB + depth data
Build and maintain a data engine: define labeling strategies, drive dataset quality and consistency, handle noisy and imperfect data
Ensure models generalize to real-world conditions: changing lighting, occlusions, small / hard-to-detect objects
Deploy models to Jetson NX-based systems - ensure compatibility with TensorRT, perform export, validation, and debugging
Collaborate closely with software, robotics, and algorithm engineers to integrate perception into the system

We are looking for a Backend Engineer with deep data engineering expertise to build and evolve the systems that power product, analytics, experimentation, and AI development.
You will work across production backend services and data infrastructure, taking technical ownership of the full data lifecycle - from event ingestion and real-time processing to orchestration, modeling, quality, and reliable data access. This role combines hands-on backend development with ownership of shared data platform, working closely with backend, frontend, AI, DevOps, analytics, and product teams.
What you'll do:
Build and maintain production-grade Python and Java backend services, APIs, and reactive data-processing pipelines with clear interfaces, resilient failure handling, and comprehensive observability.
Own and evolve batch and streaming data pipelines supporting product analytics, learner insights, experimentation, and AI model training.
Design and maintain trusted data models, shared metrics, and semantic-layer business logic across the analytical data platform.
Define and enforce standards for data contracts, testing, lineage, freshness, and observability.
Develop reliable approaches to schema evolution, backfills, replay, workload distribution, and failure recovery.
Collaborate with DevOps, backend, frontend, AI, analytics, and product teams to deliver reusable data capabilities and maintain clear system boundaries.

We're looking for a Senior Data Scientist who loves what they do: a strong foundation in machine learning, statistics, and software engineering, a passion for modern AI-accelerated development, and the drive to own research, design, and end-to-end delivery of ML systems that ship to millions.

What you'll be doing


Research, train, and deploy state-of-the-art recommender systems using deep learning and GenAI
Own projects end-to-end - from business idea through modeling, experimentation, and production deployment - including the parts that involve aligning other people around them
Build online, scalable models and serving solutions that leverage massive datasets and reach hundreds of millions of users
Apply multimodal and sequence-modeling techniques to real product problems where model improvements translate directly to business impact
Lead cross-team initiatives, improve the tooling the team works with every day, and mentor others as you go
Collaborate with ML experts, big data engineers, product managers, and developers across the organization to solve complex problems

we are a dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.

Job Description
Responsibilities:

Design and maintain scalable data pipelines with Spark Structured Streaming.
Implement Lakehouse architecture with Apache Iceberg.
Develop ETL processes for data transformation.
Ensure data integrity, quality, and governance.
Collaborate with stakeholders and IT teams for seamless solution integration.
Optimize data processing workflows and performance.

Our data & AI Division is looking for data Engineer to join our team! We are looking for a data & AI Engineer to join our growing team and help design, build, and deliver modern data & AI solutions for enterprise customers. Full-time | Central Israel?Key Responsibilities

* Design, build, and maintain scalable data Pipelines and data Platforms
* Develop ETL /ELT processes and cloud-based data solutions
* Work with structured and unstructured data from multiple sources
* Build AI-powered solutions including AI Agents, RAG pipelines, and LLM-based applications
* Integrate AI and data solutions with enterprise systems using APIs and cloud services
* Develop data models, data warehouses, and lakehouse architectures
* Collaborate with data Scientists, BI teams, and business stakeholders
* Monitor, optimize, and troubleshoot production environments

we are on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, we are recognized as the leading transportation technology and service provider globally.
As a Software & Data Engineer at our company, you will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how our company understands and improves its service for cities and riders around the world.
About the Role:
Design and build highly scalable, reliable data pipelines that serve clean, structured data across our company's engineering, product, and business teams - ensuring the entire organisation can trust the data it works with
Own the architecture of complex data models that translate messy, real-world transportation data - bookings, payments, driver activity, and more - into systems that are fast, efficient, and built to scale
Lead end-to-end development across the full data lifecycle: from architecture and design through to deployment, monitoring, and continuous improvement
Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders - building the kind of data infrastructure people can depend on
Collaborate with a broad forum of engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions that make a real difference to how our company operates
Contribute to the adoption and evolution of our modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena.

As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Data Analyst to join our growing Fraud Analytics team.

We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.

This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.

Key Responsibilities

Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.

Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.

Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.

Monitor and automate fraud detection processes to enhance efficiency and effectiveness.

As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Senior Data Analyst to join our growing Fraud Analytics team.

We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.

This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.


Key Responsibilities

Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.

Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.

Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.

Monitor and automate fraud detection processes to enhance efficiency and effectiveness.

our company delivers a cloud-based, AI-powered behavioral intelligence platform for physical AI and smart mobility. our company empowers customers with advanced AI-driven cybersecurity solutions, including detection and response (XDR), AI Security, quality and operational intelligence, cyber threat intel, SOC services, and more.
we are looking for an experienced Senior Data Scientist to join our rapidly growing data science team, focusing on creating prediction and anomaly detection models. As a Senior Data Scientist, you will lead the analysis of large (often massive) datasets, develop models and algorithms to meet customer needs, and work closely with other data scientists and data engineers to improve our automotive purpose-built data management platform, focusing on cybersecurity, API security, and vehicle quality use cases.
This role is full-time and is Herzliya, Israel based.
Responsibilities
Conduct in-depth research on large and diverse automotive live streaming tabular datasets
Explore, design and deploy cutting-edge models or algorithms solutions for prediction purposes and anomaly detection
Collaborate closely with domain experts and peers to research and implement models and algorithm flows that best fit requirements
Partner with the data engineering and development teams to devise innovative solutions for productization
Encourage collaboration and knowledge-sharing within the data science team.

Were seeking an outstanding Senior SW Engineer to join our team and help us develop our data frameworks integrations. This is a rare opportunity to influence the future of data processing.

Responsibilities:

Develop our Spark plugin and integrations

Develop in Scala and Java

Contribute to open-source projects

Develop in Python

Design advanced algorithms of processing and optimizing query plans

Define our query abstraction layer

Collaborate with other software teams to optimize software and hardware integration for maximum performance

In this role, you will be responsible for building data infrastructure for performance tuning, and analysis of a new analytics product. As a member of our Data Performance team, you will collaborate closely with other SW & HW Engineers to improve the performance of our new cutting-edge APUs. You will collaborate with our business leaders and participate in the product design and implementation. You will evaluate, implement, and integrate a diverse set of tools and technologies such as Spark, Comet, Velox, Dagster, Hardware emulators and software simulators.





Join a multi-disciplinary team of experts operating at the foundation of data infrastructure stack

Build a robust data benchmarking infrastructure

Develop in-house measurements and ETL tools

Conduct detailed performance analysis and characterization

Research state-of-the-art benchmarks and techniques for SQL and data optimization

We are looking for an Analytics Data Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing product telemetry with PMs and R&D, modeling that data into trusted, reusable datasets in the warehouse, and making those datasets easy for analysts and stakeholders to consume. Product analysts own the product questions and metric definitions; you make the data underneath them fast, consistent, and dependable.
You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping - not as an optional add-on.
Fixed-term contract: 6-8 months. Start date: October 12, 2026.
Responsibilities:
Design telemetry: partner with PMs and R&D to define event and data specs for product usage - schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role)
Build the modeled layer: develop and maintain dbt transformation models (staging → intermediate → gold) so Artifactory product data is consistent, tested, documented, and reusable
Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull
Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning
Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools.

We are looking for a highly skilled Senior Data Platform Engineer to join our Data Platform team and play a key role in designing, building, and evolving the companys data infrastructure.

This is a hands-on engineering position focused on developing scalable data platforms, high-volume ingestion pipelines, and the foundational data systems that power analytics, product applications, AI workloads, and large-scale model execution. You will help architect our data lake, build reliable ingestion capabilities at scale, and shape the core infrastructure that supports the companys future growth.

This is an exciting opportunity to work with cutting-edge technologies and have a defining impact on the architecture and evolution of our data platform.


What Youll Do
Build complex, high-volume batch and near-real-time ingestion services while helping evolve the platforms streaming capabilities.
Design and implement data solutions for all application requirements in a distributed microservices environment
Develop and optimize large-scale data pipelines for batch and streaming use cases.
Ensure data quality, compliance, and governance.
Manage and optimize Kubernetes infrastructure, utilizing KEDA to dynamically scale resources for large-scale data processing workloads.
Own the full lifecycle of our data stack using Terraform and Kubernetes, from provisioning to application-level frameworks.
Provide technical guidance for the team, drive best practices around infrastructure, CI/CD, testing, and system design.
Deep-dive into memory management and performance tuning to ensure our large-scale distributed systems are both cost-effective and lightning-fast.

Direct employment by the client — you'll be a company employee from day one. What if your next analysis could shape the way a B2C company grows? If you're passionate about turning complex data into meaningful business impact, this opportunity might be exactly what you're looking for. Central Israel, Hybrid: 3 days in the office | 2 days from home We're hiring a Senior Data Analyst In this role, you'll take the analytical lead on a fast-growing B2C product, partnering closely with Product, Marketing, Data Science, and Business teams to drive customer acquisition, optimize performance, and support strategic growth. What you'll be doing: • Analyze customer behavior, acquisition funnels, and marketing performance. • Lead deep-dive analyses and A/B testing initiatives. • Build dashboards and visualizations that drive business decisions. • Work with large-scale datasets and modern data platforms. • Collaborate closely with cross-functional teams to transform data into measurable business impact.

we are looking for a highly skilled Data Engineer to join our growing Data Analytics Department.
As a Data Engineer in a multi cloud company, you will build data-driven solutions for our customers using cutting-edge data tools and large-scale data on AWS\GCP\Azure.
Job Responsibilities:
Lead data solutions design and development for our various clients and projects.
Design the solution by understanding the needs, modeling the data, choosing the right tools and defining the interfaces/dashboards.
Develop Data Pipelines, Data Lakes, DWHs, AI\ML models, Dashboards and reports using advanced tools and leading technologies.