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Are you a senior AI researcher who thrives at the intersection of cutting-edge computer vision and real-world impact? Do you combine deep research expertise with the engineering instincts to ship models that work in production? Join the Content team within our AI group, where youll lead applied research initiatives that transform how sports content is created and experienced.

This is an applied research role with a strong ownership mandate - youll drive the full research lifecycle from problem framing and experimental design through to production integration.

We are dedicated to revolutionizing sports production. Our AI-powered solutions automatically capture sports events and transform them into personalized content, turning key moments into engaging experiences for players, teams, and fans. As a Senior AI Research Scientist, you will have direct impact on the companys innovation roadmap, leading core AI capabilities that power our platform at scale.

As part of your role, you will:
Own the research lifecycle end-to-end: problem definition, literature review, experimental design, model development, evaluation, and production integration.
Design, implement, and evaluate state-of-the-art deep learning models for computer vision tasks including detection, tracking, event recognition, and temporal modeling in video.
Drive applied research projects with clear product impact - not just experimentation, but shipping models that run reliably in production.
Collaborate closely with ML engineers, infrastructure engineers, and QA to ensure smooth model integration and performance in real-world conditions.
Contribute to our research culture: present findings internally, propose new research directions, and stay at the forefront of computer vision and deep learning.
Influence architectural decisions around model design, data pipelines, and evaluation frameworks.

Join the B2B Group as a Staff Fullstack Software Engineer, developing the Bill-pay experience for Intuit!
In this role youll be part of an innovative team that creates the next generation of Intuits payment mechanism, helping small business to get paid faster.
If you love having stretch goals, real world challenges, and making customers incredibly happy whilst fostering your obsessive need for perfect code and user experience, this is the job for you.
You will collaborate with many teams in Intuit and contribute to many components in different Business Units.
We love engineers who lead the change, are not afraid of technical challenges, communicating with customers and delivering the most beautiful and intuitive applications.
Responsibilities:
Successful delivery of high-quality software (requirements, design, code, documentation, etc.)
Contribute to early quality activities, including peer reviews of estimates, designs and code.
Production support involved with monitoring systems and remediating issues
Partner effectively with all team members to deliver against commitments
Work cross-functionally with various Intuit teams
Commitment to team success and positive team dynamics
Strong leadership and communication skills, and ability to work well in a team
Collaborate with other engineers to share best practices and knowledge of emerging technologies
Occasionally engage with customers to get a first-hand understanding of their needs
Perform and participate in peer code reviews

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. Thats why most of our teams work from the office full time, with flexibility when its needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

we are looking for a Staff Software Engineer.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with ServiceNows AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do:
Build Security Capabilities
Design and develop security tooling, automation, and platform services that operate at ServiceNows enterprise scale.
Contribute code directly into ServiceNow product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage ServiceNows platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.
Collaborate Across Teams
Work closely with the AI Security Research team on tooling for AI agent security, translating research insights into production-grade engineering.
Partner with product engineering teams during open contribution engagements, earning trust through code quality, reliability, and delivery.
Participate in design reviews, code reviews, and architecture discussions, contributing to the teams technical standards and engineering culture.
Grow with the Team
Help define engineering best practices as a founding member of the Security R&D team.
Contribute to hiring and onboarding as the team scales, helping maintain the engineering bar.
Stay current on emerging AI/ML technologies and security threats, bringing new ideas into the teams roadmap.

We are looking for a Backend and Cloud SW engineer to join our development team in Israel and take part in creating new cutting-edge technologies, cloud based services for iTero systems.

In this role, you will
Be part of a team of SW engineers working on a large scale, distributed, cloud-based services.
Work closely and willingly with your team members, and with members in other teams.
Ability to combine between technological and personal skills.

We are looking for a software engineer to build AI infrastructure that enables agentic workflows for DSP software development and legacy code maintenance.
The role focuses on developing code-aware AI systems that can reason about large embedded C/C++ codebases, particularly in DSP environments with custom instruction sets. You will design the infrastructure that allows AI agents to understand code structure, retrieve relevant context, analyze DSP kernels, and generate validated patches integrated into real development pipelines.
This is a unique opportunity to work at the intersection of agentic AI systems and real-world physical products, enabling AI-assisted development for complex embedded DSP software powering production hardware.
What will your job look like?
Build AI-driven developer infrastructure to support DSP software development workflows
Design code-aware retrieval systems combining structural program analysis with semantic search
Implement DSP-aware indexing pipelines that detect vector operations, loop kernels, accumulator flows, memory access patterns, and custom instruction usage
Design agent orchestration workflows for planning, code analysis, patch generation, and build/test validation loops
Integrate the AI system with build systems, compilers, and simulators to validate generated changes
Enable AI-assisted workflows for legacy code comprehension, dependency tracing, debugging, refactoring, and DSP kernel optimization.

We are looking for a Senior Staff Software Engineer to join our elite team building a new SaaS product. You will use AWS serverless architecture, AWS CDK, and Python to design, develop, test, and deploy services. This role involves practicing the full software development lifecycle in an agile environment, collaborating with cross-functional teams, and exploring new technologies.
Your Impact:
Design, develop, test, secure, and deploy services from planning to production using AWS serverless architecture, AWS CDK, and Python.
Practice the full software development life cycle within an agile-oriented environment.
Lead the design, development, and delivery of features in a complex SaaS application.
Participate in continuous and iterative engineering cycles with an emphasis on code quality, supportability, scalability, and performance.
Collaborate closely with security architects, product managers, and other development teams.
Explore, evaluate, and implement new technologies and tools to ensure we are using cutting-edge solutions.
Champion high-quality code design and participate actively in code reviews to optimize and challenge the status quo.

We are looking for a bright, talented Sr Staff DevOps Platform Engineer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. Focused on development flow productivity, building application infrastructures and tools, with huge challenges related to hyper-growth of engineering and application scale.
As part of your role, you will design, implement and deploy products and infrastructures which will directly increase our stability and quality, while reducing our time to market. Design and develop solution-oriented enterprise DevOps Platforms and tools
Create solutions to increase R&D velocity, reduce lead time and improve overall product quality.
Plan, Design, and develop the company SAAS infrastructure, operation engine, and deployment strategy.
Develop and adopt new technologies aim at improving our overall CI/CD pipelines.
Platform and service troubleshooting across various applications, domains, and platforms
Introduce Security into both the CI and CD pipelines utilizing DevSecOps shift left approach.

We are seeking a highly motivated and experienced Principal/Sr Staff Software Engineer to join our group. As a senior developer, you will design and build our new high-scale, complex, cutting-edge systems built in Angular, React & Python running over AWS. You will enjoy both infrastructure and applicative challenges.
Your Impact:
Practice all software development life cycle in an agile-oriented environment.
Design and implement the infrastructure of the system.
Research and implement sophisticated Cyber security mechanisms.
Explore new technologies and tools to keep us using cutting-edge solutions.
Help guide and contribute to feature design and implementation to bring the product to the next level.
Participate in continuous and iterative engineering cycles with an emphasis on code quality, supportability, scalability, and performance.

we are looking for a Senior AI Software Engineer to join our Generative AI foundation team. We build AI agents and shared infrastructure that power GenAI capabilities across the company, enabling CyberArks product lines to adopt agentic workflows safely, reliably, and at scale. In this role, youll be involved in the full software lifecycle - from fast-moving prototypes and POCs to production-grade, observable systems. Youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence. Youll work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services. Youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops.
Your Impact:
Design, develop, and deploy scalable AI agents and shared infrastructure for GenAI capabilities.
Manage the full software development lifecycle, from prototyping to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust and scalable services.
Work hands-on with large language models (LLMs), agentic frameworks, and a broad range of AWS services.
Implement strong telemetry, evaluation metrics, and feedback loops to continuously improve AI solutions.
Champion operational excellence through pragmatic experimentation, iteration, and solid design.