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Realize your potential by joining the leading performance-driven advertising company!
As a Staff MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

Are you passionate about building smart, multidisciplinary systems that combine cutting-edge hardware, software, computer vision, and AI? Do you enjoy shaping product architecture and leading complex technological processes from concept to delivery?
the global leader in AI-automated sports production, is looking for an experienced Senior System Engineer to join our product development team. In this role, youll take ownership of the end-to-end system design of our smart camera solutions. You will define system requirements, architecture, and integration processes ensuring the delivery of high-quality, scalable products that meet market and business needs.

As part of your role, you will:
Report to the VP of R&D and work closely with cross-functional teams including product, hardware, software, and AI.
Define and collect system requirements in collaboration with product managers, customers, and technical stakeholders
Design end-to-end system architecture, including hardware, software, computer vision components, and communication interfaces
Write detailed technical documentation: System Requirements Specs (SRS), Interface Control Documents (ICD), Design documents, and test plans
Lead integration processes of hardware and software components, including debugging and root cause analysis
Collaborate closely with teams across hardware, software, algorithms, QA, and manufacturing
Own the planning and execution of system-level Verification & Validation (V&V) processes
Analyze system performance, identify bottlenecks, and propose effective system-level solutions
Support system testing, installations, and customer deployments from early trials to post-launch support
Evaluate new technologies and lead the selection and implementation of innovative system solutions

Why Youll Love Working Here:
Be part of a global sports-tech company shaping the future of sports broadcasting
Collaborate with top engineers on impactful, real-world technology
Work in a dynamic and agile environment with exciting growth opportunities
Help bring intelligent camera systems to sports fans around the world

Position Overview: Join our AI SaaS Team and take a pivotal role in shaping the next generation of forensic AI solutions. Youll design and build the infrastructure, tools, and pipelines that empower our researchers and data teams to innovate faster and smarter. In this role, youll work side-by-side with data scientists and AI researchers to transform ideas into reality integrating multi-modal data state-of-the-art Machine Learning models, and intuitive interfaces into scalable solutions. Youll also take ownership of AI/GenAI infrastructure and bring MLOps best practices into play, ensuring smooth data flows, efficient model training, and seamless deployments. This is your chance to bridge research and engineering, influence cutting-edge products, and deliver impactful forensic insights to investigators worldwide.
Key Responsibilities
* Develop and maintain AI/GenAI infrastructure: training environments, pipelines, and data Storage.
* Build scalable data pipelines for acquisition, transformation, and integration of multi-modal data.
* Support researchers by creating tools, visualizations, and prototypes for experiments and POCs.
* Collaborate with data scientists and engineers to operationalize AI models into Cellebrites SaaS products.
* Design and maintain cloud-native MLOps solutions for scalable deployments.

Office Location:
Petah Tikva

The Senior Manufacturing Test Engineer is responsible for developing, implementing, and sustaining test processes and equipment used in the manufacturing of hardware products. This role ensures that products meet quality, reliability, and performance standards through robust test strategies, automation, and continuous improvement. The engineer acts as a bridge between design engineering, manufacturing operations, and quality assurance, supporting new product introductions (NPI) through to mass production and sustaining phases.
This is a great opportunity to be part of one of the fastest-growing AI infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Role and Responsibilities:
Test Development & Validation
Design, develop, and implement test plans, test fixtures and infrastructure.
Collaborate with R&D to define test requirements early in the product lifecycle.
Develop test scripts and automation software (Python, LabVIEW, C#, etc.) to improve coverage and efficiency.
Validate test coverage, yield, and reliability through statistical analysis (GR&R, Cpk, SPC).
New Product Introduction (NPI)
Support EVT, DVT, and PVT phases with test readiness and execution.
Lead test process transfer to contract manufacturers (CMs) or ODM partners.
Train CM engineers/technicians on test systems and procedures.
Ensure compliance with safety, regulatory, and customer requirements.
Manufacturing Support & Continuous Improvement
Monitor production test yields, debug failures, and drive root cause analysis (RCA).
Implement corrective actions and continuous improvements to reduce test time, cost, and false failures.
Maintain and calibrate test equipment and fixtures.
Support ECO (Engineering Change Orders) by updating test plans and equipment accordingly.
Cross-Functional Collaboration
Work closely with hardware, firmware, and reliability engineers to improve product testability and robustness.
Partner with Quality and Operations to ensure smooth scaling into mass production.
Engage with suppliers and CM partners on test strategy alignment.

We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.
This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.
You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.
If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.

Working as a bridge between Data Science and Engineering, you will collaborate across various teams, supporting both data science and engineering as well as liaising with architecture and product management to help shape the Impact AI roadmap and accelerate our value to our customers.

Job Description
What you get to do in this role:  

Data Extraction and Pre-processing: Normalizing and pre-processing data, creating datasets, organizing outcomes, documenting data-quality checks.

Model Evaluation, Implementation & Maintenance: Evaluating, selecting, and implementing models locally, setting up automated drift / performance monitoring in production.

Solution Design: Contribute to solution diagrams.

Education and Training: Educating engineers on data and model management best practices through individual and team sessions.

Presentation and Documentation: Preparing and presenting explanatory documents and presentations to PMs and relevant internal customers .

Production Deployment of Models: Bringing Python models to production, paying attention to non-functional requirements such as predictive accuracy, robustness, security, performance, and storage.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Platforms and Devices team encompasses our company's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of our company AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
Write a product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
our company Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to our company products.
Responsibilities
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

We are looking for a Software Engineer.
As a Software Engineer in the team, you will contribute to the design, development, and operation of our comprehensive data fabric an enterprise-grade system that enables data-driven decision-making and high-impact product features across . You'll work closely with a cross-functional team of engineers, product managers, and data experts to build scalable data infrastructure and intelligent data management capabilities that power internal and external services. You will:
Drive the development of sophisticated and robust logic and backend infrastructure that supports large-scale data and compute workflows.
Collaborate across teams to design solutions that meet performance, reliability, and security requirements.
Contribute to the automation and optimization of engineering processes, improving deployment velocity and system health.
Participate in the full software development lifecycle, from ideation and design to deployment and monitoring.
Help shape engineering standards, technical architecture, and operational best practices within the team.

Were hiring a ML Engineer to accelerate AI-driven innovation across our companys B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across our companys product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.