דרושים » הנדסה » MLOps Engineer

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.

we are looking for a Senior DevOps Engineer - ML Platform.
AI Engineering's ML-Platform team goal, is to deliver a modern infrastructure and solutions to enhance Algorithm development life cycle and shorten our delivery times. We are an independent group, consisting of excellent and experienced engineers with diverse skills in algorithms, software, and infrastructure. We strive to implement a DevOps culture allowing our engineers to easily collaborate on large-scale products.
We develop cross-company products that enable the research and deployment of state-of-the-art algorithms.
What will your job look like?
Build and maintain infrastructure for large‑scale AI and HPC workloads across on‑prem and cloud environments
Operate and enhance our multi‑cloud, multi‑cluster scheduling platform
Develop automation, tooling, and platform services und Bash
Troubleshoot complex issues across the stack: compute, networking, storage, orchestration, and distributed systems
Improve reliability of critical systems
Collaborate with ML, data, and backend teams to support evolving platform needs
Drive best practices in CI/CD, infrastructure-as-code, and system design
Participate in on‑call rotations for critical infrastructure components

we are searching for a skilled and motivated Algorithm & Software Engineer to join our Calibration Team. The Calibration Team is an integral part of the Geometry Group within the R&D department. We develop cutting-edge computational geometry products for systems, essential for understanding vehicle surroundings and advancing Autonomous Vehicles and Advanced Driving Assistance Systems.
Our team's focus is on camera calibration functionalities. The foundation of all our algorithms is rooted in classic theoretical concepts that include diverse topics in mathematics and physics such as projective geometry, algebra, and optics. Given the wide-reaching impact of our work, these fundamental principles are translated into code, which must meet stringent real-time requirements, delivering both high accuracy and efficiency. To accomplish this, we actively utilize various profiling tools and techniques to continuously enhance the performance of our software solutions.
In addition, our team is gradually incorporating Machine Learning approaches to complement traditional methods and explore new ways to improve calibration accuracy.
We place a strong emphasis on the development of clean, well-documented, and testable code in order to produce robust and dependable software solutions. We are looking for individuals who share our commitment to code quality and recognize the significance of these practices.
What will your job look like:
Implement, deploy, and maintain algorithms in classic computational geometry.
Develop high-quality code primarily in C++, Python and occasionally using MATLAB.
Design and maintain real-time oriented code that meets stringent memory and runtime requirements.
Collaborate effectively with other teams at Mobileye.

Were looking for a highly skilled Full Stack Developer to join our engineering team. In this role, youll design, develop, and maintain both backend and frontend systems that power production and internal applications.
Youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms.
What will your job look like?
Design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
Build rich, responsive user interfaces using React, Angular, or Vue.
Develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
Design and manage databases (SQL and NoSQL), focusing on performance, reliability, and solid data modeling.
Support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
Build, containerize, and deploy applications using Docker and Kubernetes in Linux-based setups.
Implement and maintain CI/CD pipelines using GitLab CI for automated testing, integration, and deployment.
Work with AWS services to deploy, monitor, and scale cloud-based applications.
Contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
Collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.
All you need is:

we are seeking an Algorithm Team Lead to guide a team of highly skilled algorithm developers. You will join a collaborative group focused on researching and developing large-scale offline computer vision models that enable automatic data labeling and are deployed company-wide.
This role requires a unique combination of technical depth, leadership, and strategic thinking - and its your opportunity to inspire and challenge brilliant minds, while maintaining a strong presence and ensuring focus and execution.

You will lead the teams end-to-end work in 3D computer vision, multi-sensor reasoning, and SLAM-based perception, driving the development of state-of-the-art algorithms that power autonomous driving systems. The position involves close collaboration with Product and cross-functional teams to define priorities, balance innovation with delivery, and translate complex research challenges into production-ready solutions.
What will your job look like:
Lead a team of 7 algorithm developers, providing both technical and personal guidance.
Manage priorities and interface with product and engineering stakeholders to ensure alignment and impact.
Drive algorithmic research and development in the areas of 3D reconstruction, SLAM, optimization, calibration, and ego-motion estimation.
Oversee the full lifecycle - from concept and research to deployment in production systems.
Maintain hands-on involvement, mentoring the team in advanced algorithmic design and development.

ourSoftware Group is looking for an experienced Python Infrastructure Tech Lead to join our Software Infrastructure Team.
Our group is responsible for the full software stack running in the vehicle, as well as the development tools and infrastructure that support it. We build and maintain a large-scale automation and infrastructure platform that serves multiple engineering teams across .
In this role, you will lead the architecture, design, development, and maintenance of high-quality Python-based infrastructure and applications. You will collaborate closely with software engineers, system architects, and project stakeholders to deliver robust, scalable, and innovative solutions that directly impact core automotive technologies.
What Will your Job Look Like?
Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
Take ownership of system architecture and technical design, from high-level design to implementation.
Collaborate with cross-functional teams to define, design, and ship new features.
Develop and maintain Python applications for various projects.
Optimize applications for maximum speed.
Write clean, efficient, and well-documented code.
Troubleshoot and debug issues as they arise.
Stay up-to-date with the latest industry trends and best practices.
Help shape a structured, collaborative, and improvement-driven engineering culture.

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

As a Product Validation Group Manager in the automotive industry, you will lead multidisciplinary validation teams responsible for ensuring the reliability, performance, and quality of advanced automotive systems and components.
You will apply cutting-edge validation methodologies, utilize real-time lab environments, and leverage innovative tools to drive accuracy, efficiency, and continuous improvement.
As the final gatekeepers, your teams will ensure that every version released to customers meets the highest standards of safety and excellence- enabling faster delivery, smarter innovation, and technology that drives the world forward.
What will your job look like:
Team Leadership: Lead, mentor, and manage a group of 4 teams of validation engineers and developers, fostering a collaborative and innovative team environment. Provide guidance, support, and professional development opportunities to team members.
Validation Process Management: Lead and oversee the planning, execution, and optimization of validation processes for cutting-edge automotive systems and components in a fast-paced, innovative-driven environment. Ensure all validation activities meet the highest industry standards while continuously enhancing quality, precision, and efficiency to accelerate delivery and innovation.
Methodologies and Frameworks: Utilize the V model and other software developments to structure and execute validation activities. Implement and optimize Continuous Integration and Continuous Deployment (CI/CD) methods within the validation process.
Tool Integration and Management: Manage the integration and use of tools such as Jenkins, JIRA, and other CI/CD systems in validation workflows. Develop and maintain automation scripts using Python to streamline validation processes and improve efficiency.
Real-Time Online Lab Systems: Oversee the setup, maintenance, and operation of real-time online lab systems used for validation. Ensure that all lab environments are fully equipped, optimally configured, and continuously enhanced through innovative technologies and practices to support efficient and reliable validation activities.
Project Management: Plan and manage validation projects, ensuring they are completed on time, within scope, and within budget. Coordinate with cross-functional teams to align validation activities with overall project goals and timelines.

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.

We are seeking an experienced Senior Data Platform Engineer to design and scale the robust, cost-efficient infrastructure powering our groundbreaking fraud prevention solution. In this role, you will architect distributed systems and cloud-native technologies to safeguard our clients' revenue while driving technical initiatives that align with business objectives and operational efficiency.
Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.
Your Arena
Infrastructure & FinOps: Design scalable, robust backend services while owning cloud cost management to ensure maximum resource efficiency.
High-Performance Engineering: Architect distributed systems and real-time pipelines capable of processing millions of daily transactions.
Operational Excellence: Champion Infrastructure-as-Code (IaC), security, and observability best practices across the R&D organization.
Leadership: Lead technical initiatives, mentor engineers, and drive cross-functional collaboration to solve complex infrastructure challenges.