דרושים » הנדסה » דרוש /ה תומך /ת טכני /ת מנוסה ומקצועי /ת להצטרפות לצוות טכנולוגי מוביל

What you will be doing
As the ML Platform Engineering Manager, you'll lead a team of backend engineers building our company's AI infrastructure. Your team bridges research and production, taking cutting-edge ML and generative AI models from our research teams and turning them into scalable systems that power AI features for millions of users.
The ML Platform team owns the complete AI pipeline - from research prototype to production deployment. You'll build and maintain a high-performance inference platform that serves models at scale, enabling faster research iteration and seamless user experiences across our apps.
This role requires both technical leadership and people management skills. You'll make key architectural decisions for complex distributed systems while growing and mentoring your engineering team. Success means delivering reliable, scalable AI infrastructure that supports our rapid growth in a fast-paced environment.

Join our dynamic team as a Validation & Version Release Team Leader, responsible for managing the software version release process and leading a high-performing release team.
Your primary mission will be to oversee end-to-end software version releases, coordinate cross-functional efforts, and drive automation and efficiency throughout the release lifecycle.
This is your opportunity to lead and make a tangible impact on cutting-edge automotive technology. If you have a strong background in software development, proven project management skills, and a passion for optimizing and automating release processes.
What will your job Look like?
Lead and manage the version release team, who are the final gatekeepers- the ones who sign off on the version that reaches the customer and drives the world forward.
You will provide technical expertise and guidance to resolve complex release-related issues.
Define, implement, and continuously improve efficient release processes for software versions.
Oversee the automation of release processes, including testing, deployment, and monitoring.
Integrate AI-driven tools to enhance and streamline release processes.
Collaborate with stakeholders to gather requirements, define release scope, and prioritize activities.
Ensure compliance with quality standards, industry's best practices, and regulatory requirements.
Maintain comprehensive documentation of release processes, including release plans, reports, and performance metrics.

The AV Validation Infrastructure team is looking for an experienced backend Python developer with a strong background in data, pipelines, streaming, and databases to help us scale our infrastructure and services.
Our team is responsible for ensuring the safety and performance of autonomous vehicle (AV) by building the tooling, data systems, and automation that power large-scale validation.
Key Challenges:
Ingest vast amounts of driving data daily, and youll help design systems to store, process, and query it efficiently.
Work with both structured data (tables, metrics, logs) and unstructured data (images, logs, voice recordings, etc.), connecting them to understand vehicle behavior and AV version stability.
Support hundreds of internal and external users across the organization and customers, where reliability, usability, and performance are critical.
What will your job look like:
Design and develop large-scale automation infrastructure and internal tooling for AV validation
Build and maintain data-driven services and pipelines in Python
Develop and maintain RESTful APIs and queue-based / event-driven services
Work with CI/CD and infrastructure tools such as Jenkins, Linux, Kubernetes
Work with modern data and storage technologies, such as:
Data & compute: Spark (advantage)
Databases / data lake: Iceberg, Athena, DynamoDB, RDS, other SQL/NoSQL systems

This team is responsible for building and maintaining core cross-team product systems that serve the entire organization and enable fast, consistent, and high-quality development across multiple products.
The ideal candidate is a product-minded engineer with a strong technical background, who thrives on designing scalable and maintainable systems that empower teams and enhance user experience.
:bulb: This is a hybrid position based in Jerusalem, with at least 2 days per week in-office required. Our office is conveniently located in Jerusalem's Central Bus Station (across the street from the train station)
Responsibilities
Design and develop end-to-end features used across multiple products and teams.
Build and maintain cross-team systems that support scalability, reusability, and consistency.
Develop and evolve shared UI infrastructure and internal tools.
Collaborate with product and engineering teams to identify platform needs and deliver high-impact solutions.
Ensure code quality, scalability, and performance across all layers of the stack.
Write clean, testable, and maintainable code following best practices.
Provide occasional evening support (e.g., responding to Slack inquiries when needed).

We are looking for a Data Engineer to join our Object Detection group and play a key role in managing and enabling data workflows that power our computer vision algorithms. Our team generates and processes large volumes of diverse data from multiple sources, and we need someone who can bridge the gap between raw data and algorithmic innovation.
Working alongside algorithm developers and researchers, you'll be responsible for building robust data pipelines, ensuring data quality, and making complex datasets accessible and actionable for our detection models.
This role requires both strong coding abilities and a deep understanding of data - you'll need to think like an engineer while understanding the unique needs of a research and development-focused algorithmic group.
What will your job look like:
Work on large-scale systems handling diverse data from multiple sources
Build and maintain robust data pipelines that enable algorithmic development
Evaluate various optional technologies and take part in decision-making
Own key features and services within the data infrastructure
Ensure data quality and accessibility for detection models and research needs
Work onsite in Jerusalem at least 3 days a week