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We are seeking an exceptional Applied Scientist to join our Prime Video Sports personalization team in Israel. Our team is dedicated to developing state-of-the-art science to personalize the customer experience and help customers seamlessly find any live event in our selection. You will have the opportunity to work on innovative, large-scale projects that push the boundaries of what's possible in sports content delivery and engagement. Your expertise will be crucial in tackling complex challenges such as information retrieval, sequential modeling, real-time model optimization, utilizing Large Language Models (LLMs), and building advanced recommender systems.

Key job responsibilities
We are looking for an Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems - or strong general ML fundamentals - to develop new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers, you will research, design, develop, and deploy algorithms into production pipelines. You'll work with state-of-the-art technologies in recommender systems and search, and tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist, you will also drive the publication of original work in top-tier Machine Learning and Recommender Systems venues.

As a System Verification Software Engineer, you will join a unique team that works at the heart of chip development, at the HW/SW boundary, collaborating across teams to ensure our semiconductor platforms meet the highest standards before they reach production, as we lead the market with our cutting-edge devices.
Youll be part of a team that verifies Graviton chips across emulation, silicon, and AWS production fleets-developing the tests, automation, and debug tooling that give us confidence our features function correctly on real hardware.

Key job responsibilities
* Verify and validate Graviton chips in emulation, silicon, and post-production.
* Develop tests that ensure our features function as intended.
* Build automation and debugging tools for silicon regressions and bring-up.
* Collaborate with hardware design and software teams to identify, analyze, and resolve design issues and verification gaps.
* Debug failures across diverse platforms (emulation and silicon).

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating at Amazon scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

We are growing and we're hiring people who are inspired by the opportunity to define and build the next generation semiconductor platform.

Key job responsibilities
* Be integrated part of the automation infrastructure team.
* Develop state-of the-art automation infrastructure solution for multiple SW projects.
* Provide solutions which enables automation flows on cloud infrastructure.
* Provide service and support for automation developers.

We are looking for a Senior Software Developer to join our development team and build complex, interactive, data-driven applications with advanced visualization capabilities. The role combines hands-on development, software design, technical leadership, and end-to-end ownership of solutions from early-stage prototypes and MVPs through production.

How you will make an impact:
Design, develop, and maintain complex software applications.
Initiate and build new projects from the ground up, including early-stage prototypes and MVPs.
Translate product ideas and requirements into well-structured software designs.
Build interactive user interfaces with a focus on usability and performance.
Implement and maintain backend services and APIs.
Participate in software design and architecture discussions.
Work with cloud-based infrastructure and deployment pipelines.
Collaborate closely with product, design, and engineering teams.
Write clean, maintainable, well-documented, and well-tested code.
Participate in code reviews and technical decision-making.

We are looking for Rockstar Senior ML Researcher to join our team. Its a great opportunity to join an innovative, interesting, and fast-growing startup that will change the world of risk assessments.
Responsibilities:
Lead the research and development of innovative machine learning models and algorithms.
Design and implement scalable data pipelines to support advanced data processing and analysis.
Develop robust, multilingual solutions for diverse market needs.
Oversee the entire lifecycle of platform development, from initial research to final delivery.
Provide technical leadership and mentor junior team members,

We are looking for a talented QA Engineer, to join our team. Its a great opportunity to join an innovative, interesting, and fast-growing startup that will change the world of risk assessments.
As a QA Engineer, you will ensure our product meets the highest standards of quality, reliability and performance.
Responsibilities:
Lead and execute comprehensive testing strategies for our complex software solutions.
Design and establish daily quality control procedures and ensure consistent application across all stages of product development.
You will do manual tests, and automation tests as well.
Executing quality strategy, defining, and measuring metrics.
Collaborate with the development team to troubleshoot and resolve issues.
Define quality metrics and make data-driven decisions to improve product excellence.

We are looking for a Rockstar backend developer to join our team. Its a great opportunity to join an innovative, interesting, and fast-growing start-up that will change the world of risk assessments
In this role, you will be responsible for the development of complex Microservices with high-scale architecture.
Responsibilities:
Responsible for designing and develop the platform from research to delivery
Drive the architecture and collaborate with a cross functional team on the overall design
Provide technical leadership and mentor junior team members
Design the platform for scale and high performance with the ability to handle large amount of data.

We are seeking an experienced Senior Frontend Team Lead to join our innovative and fast-growing startup poised to transform the risk assessment industry.
Responsibilities:
Lead a team of developers in designing and developing frontend web and mobile applications.
Ensure high performance and responsiveness throughout the deployment process of these applications.
Oversee the end-to-end frontend development lifecycle from design through deployment, guaranteeing applications are robust and market-ready.
Architect scalable, maintainable, and efficient code and services utilizing modern web technologies.
Drive collaboration with cross-functional teams to design and implement new features, enhancing application functionality and user experience.
Provide technical and project leadership, mentoring junior team members, and promoting a culture of excellence and innovation.
Stay abreast of the latest industry trends and technologies to continuously improve our platforms and development practices.

we are seeking a software engineer with a passion, knowledge, and experience for taming, training, and controlling LLM and ML models, for diverse use cases and users. In this role, you will take part in all the steps of shipping GenAI, from idea to enterprise-grade solution, across all stages of the product development lifecycle.

Responsibilities:
Get deeply acquainted with a problem domain, investigate and prototype technologies and architectures for an adequate solution
Collaborate with product and engineering teams to translate customer-facing features into detailed product specifications and solution design
Build GenAI-powered applications/agents from the ground up - from data collection and model training to deployment and production monitoring
Conduct experiments and model evaluations, analyze performance metrics, and iterate rapidly to maximize accuracy and effectiveness
Develop and propagate best practices, including reusable tools or frameworks, to ensure robust and maintainable GenAI engineering
Stay updated with emerging trends and advancements in AI - including new models, frameworks, and techniques - and bring forward innovative ideas for their adoption

we are seeking a talented Backend Engineer with deep expertise in server-side development and a passion for building scalable, high-performance systems and services. In this role, you will design and maintain robust data analysis and reporting services that serve as the backbone for our innovative data governance platform, ensuring seamless monitoring and reliability of entire customer financial data.

Responsibilities:
Design and develop backend systems using Python to support data processing and governance.
Architect, implement, and manage cloud infrastructure on AWS (e.g., EC2, S3, RDS)
Collaborate with full-stack teams to integrate backend services into the platform seamlessly.
Optimize systems for performance, scalability, and reliability
Maintain code quality and organization through best practices and thorough code reviews.
Contribute to Agile development processes and support continuous integration/deployment pipelines.
Monitor and troubleshoot system performance, ensuring minimal downtime and high availability.

You will build the services behind every app our users generate - provisioning, databases, auth, billing and the APIs that hold it together. Reliability here is the product.

What you'll do
Design and build .NET services that provision and run user applications.
Own data modelling, migrations and query performance as usage grows.
Build internal APIs consumed by the web, mobile and AI teams.
Improve observability so we find problems before users report them.

You will build the editor our users spend their day in - the canvas, the chat, the preview, the moment where a prompt becomes something they can click. Interface performance and feel are the whole job.

What you'll do
Build and refine the editor UI, from the prompt surface to live preview.
Keep the interface fast with large, deeply nested app trees.
Own accessibility and RTL across twelve languages.
Work directly with design and turn rough directions into shipped screens.

We are looking for an ambitious and highly motivated Business Development Representative to help accelerate our growth across EMEA and global markets. In this role, you will be the engine behind our pipeline - identifying, engaging, and qualifying prospects to generate high-quality meetings and demos for our Sales team. This is a pure hunting role focused on outbound and inbound prospecting; it is not a closing position. We prioritize potential over pedigree: candidates who demonstrate strong motivation, coachability, and a genuine drive to succeed are encouraged to apply, regardless of prior experience.

Responsibilities:
Pipeline Generation: Prospect, qualify, and generate high-impact opportunities through multi-channel outbound prospecting (email, cold calling, social selling) and inbound lead follow-up.
Meeting & Demo Booking: Secure qualified discovery calls and product demos for Account Executives across Mid-Market and Enterprise segments.
Account Mapping & Discovery: Research target accounts and identify technical and infrastructure pain points, engaging DevOps, DevSecOps, and Security leadership.
Cross-Functional Collaboration: Partner closely with Account Executives, Sales Engineering, and Marketing to align messaging, prioritize target accounts, and ensure smooth handoffs.
Pipeline Hygiene: Maintain accurate, up-to-date records in the CRM, tracking outreach activity, lead status, and conversion metrics.