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We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment.

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, realtime model optimizations, utilizing Large Language Models (LLMs), and building state-of-the-art complex recommender systems.

Key job responsibilities
We are looking for an Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems, or general ML to develop new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers, you will be responsible for researching, designing, developing, and deploying algorithms into production pipelines. Your role will involve working with the latest technologies in recommender systems and search.

You'll also tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist, you will drive the publication of original work in top-tier conferences in Machine Learning and Recommender Systems. We expect you to thrive in ambiguous situations, demonstrating proven analytical abilities and comfort in collaborating with cross-functional teams and systems.

The ideal candidate is a self-starter with the ability to learn and adapt quickly in our fast-paced environment.

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 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.

As a Senior Backend/Frontend Developer , youll play a crucial role in shaping the technical direction of our platform. Youll be a key contributor to our backend architecture, ensuring scalability, security, and performance, while also contributing to the frontend user experience using React. Youll work closely with a talented team of engineers, product managers, and designers to deliver solutions that directly impact peoples lives and support our growing user base. This role offers the potential to grow into a Tech Lead position.

Were looking for a passionate and experienced developer who thrives in a fast-paced startup environment, takes ownership of challenges, and is excited about using technology to make a real-world impact, particularly in the mental health space.

Our Stack: Node.js, ReactNative, React, Redis, AWS, PostgreSQL, Typescript.


Responsibilities:
Backend Development:
Design, develop, and maintain robust, scalable, and secure backend services using Node.js and Typescript.
Contribute to the architecture and evolution of our platform, ensuring it meets current and future requirements.
Optimize backend performance and identify/resolve bottlenecks.
Develop and maintain RESTful APIs and integrate with various services.
Work with databases (PostgreSQL, Redis) to ensure data integrity and performance.
Contribute to the integration of AI models and services into our backend infrastructure.


Frontend Development:
Develop and maintain user interfaces using React native.
Collaborate with designers to implement UI/UX designs.
Ensure the frontend is performant, accessible, and user-friendly.
Write clean, well-documented, and testable code.

Were looking for a Senior React Native Developer to take a leading role in building and scaling our mobile experience. Youll work closely with designers, product managers, and backend engineers to deliver intuitive, stable, and high-performing user experiences. This is a hands-on role with an opportunity to shape our mobile architecture and development practices.

If you have backend experience (especially with Node.js and Typescript), thats a huge plus - were looking for developers who think holistically and can work across the stack when needed.

Our Stack: React Native, Node.js, Typescript, PostgreSQL, Redis, AWS, React


Responsibilities:
Mobile App Development:
Build and maintain high-quality, scalable mobile applications using React Native.
Collaborate with product and design to deliver pixel-perfect features that users love.
Own the mobile app performance, quality, and responsiveness.
Participate in code reviews and contribute to a culture of engineering excellence.

As a Business Development Representative (BDR) , you will play a pivotal role in driving our growth by identifying and creating new business opportunities. This is a fast-paced, results-driven position ideal for someone with SaaS Go-To-Market experience who thrives in a dynamic environment.

Key Responsibilities:

Develop a deep understanding of value proposition and effectively communicate it to business leaders across various industries.
Prospect and research target accounts and key decision-makers.
Engage potential customers via cold calls, emails, and LinkedIn.
Understand prospect needs and determine their fit with solutions.
Schedule qualified meetings for the sales team.
Ensure a consistent flow of opportunities to fuel sales growth.

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for building complex backend designs that are both scalable and fault-tolerant, developing our data ingestion pipeline and introducing new analysis engines.
What You'll Be Doing:
Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We're looking for a Production Operations Engineer to join our fast-growing company at a breakthrough stage, as we build our dream team with the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high-quality, innovative solutions with the latest technologies - and we never forget to enjoy the ride along the way!

This is a role for someone who owns production stability end to end and knows that the best fixes often happen through other people. You won't be the one writing every manifest or resolving every incident yourself - you'll be the one who sees what production needs, sets the direction, and makes sure R&D teams follow through.

What You'll Be Doing:
Owning production stability: Act as the go-to person for the health of our production environments, proactively identifying risks before they become incidents.
Owning the incident process: Make sure incidents are properly tracked, follow-ups are driven to completion, and R&D teams write and own their postmortems - turning lessons into lasting improvements rather than letting them slip.
Driving change across R&D: Partner with engineering teams to define the reliability and operational improvements production needs, and make sure they get prioritized and implemented.
Raising the operational bar: Champion production-readiness standards, define SLOs and error budgets, and build a culture where teams own the reliability of what they ship.
Connecting the dots: Communicate clearly with stakeholders across R&D and leadership, translating between technical detail and business impact.

A Product Analyst plays a key role in helping Product teams understand whats happening, why its happening, and what to do next. By proactively identifying trends, asking the right questions, and connecting insights across product and user data, youll help shape product decisions and identify opportunities for improvement.

What You Will Do:
Proactively identify trends, opportunities, and product questions, turning data into actionable insights and recommendations.
Deep dive into user behavior, product performance, adoption, funnels, and usage to understand not only what is happening, but why.
Partner with Product to define meaningful KPIs, monitor performance, and use A/B testing and other analytical methods to identify opportunities for improvement.
Work closely with Product, R&D, and other stakeholders to translate insights into product priorities and decisions.
Build dashboards, reports, and analytical frameworks that help teams understand product performance and make better decisions.
Ensure accuracy and attention to detail, building trust in the data and insights used across the organization.