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As a Senior SDE III on the Elastic Compute team, you work where silicon meets software - your decisions ripple across millions of EC2 instances and shape the performance, security, and cost efficiency of the AWS compute platform. A day might start by root-causing a fleet-wide latency anomaly across the full stack, from the hypervisor and Nitro offload path down to firmware; move into owning the architecture for a multi-year initiative and leading the design review where the hard questions about scale, failure domains, and safe fleet-wide rollout get asked - often co-designed directly with silicon and hardware partners; and end deep in a low-level C/C++ or Rust change, a down-to-the-instruction performance investigation, or twenty minutes pairing with a newer engineer because raising the bar around you is part of the job, not a distraction from it. The systems you build run continuously, at massive scale, with little tolerance for error - so a great day ends with something shipped or a hard problem genuinely understood, knowing your work will be quietly running in data centers around the world tomorrow.

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).

As a Startup Account Executive for Israeli Start-up companies, you will be driving digital transformations through effective engagement with C-level executives, business development executives, IT leaders, architects, developers, and various lines of businesses. You will establish our Web Services as the key cloud technology provider across the world's highest-potential startups from conception to exit in France, promoting the entire AWS products and services portfolio to Startups.

You deliver business outcomes while guiding them to become more agile, innovative, and efficient. With AWS, our customers benefit from the fastest pace of innovation, the broadest and deepest functionality, the most secure computing environment, and the most proven operational expertise.

Key job responsibilities
* Ensure customer satisfaction.
* Meet or exceed revenue and goal targets in a defined territory.
* Develop and execute a comprehensive account/territory plan to manage and grow numerous accounts concurrently.
* Create & articulate compelling value propositions around AWS services.
* Accelerate customer adoption.
* Maintain a robust sales pipeline.
* Work with partners to extend reach & drive adoption.

In this role, you will also establish our Web Services as the key cloud technology provider across the companies you manage, promoting the entire AWS products and services portfolio to Startups Customers. You will be at the heart of latest trends like artificial intelligence (AI), machine learning (ML), serverless and IoT, helping your customers to leverage state-of-the-art technologies on AWS to innovate and become the next disrupters, like todays AirBnB, Slack, DoorDash, and Lyft.

The Startup Central Sales focus on acquiring new customers and accelerating AWS adoption of existing customers. We deliver targeted customer experience throughout their AWS journey by being trusted advisors in our customers industries. Underpinned by a Learn and Be Curious culture, we are agile in looking for specific initiatives that can be programmatically repeated to accelerate similar groups of prospects/customers at scale. Working backwards from the customer, we use end-to-end data and analytics to make real-time decisions, experiment with new concepts and respond to trends to innovate on behalf of our customers.

Our Corporate Security is looking for an eager and self-motivated corporate security professional who embodies our Leadership Principles, in particular, Customer Obsession, Deliver Results, Earn Trust, and Bias for Action to join the team as a Security Manager for Israel & Greece. The Security Manager reports to a Regional Security Manager, who leads a team of security experts for a dedicated sub-region. The Security Manager is responsible for supporting the implementation of all elements of the Corporate Security program at all our corporate locations in their area of responsibility.
The Security Manager supports the Regional Security Manager with delivery and oversight of the day-to-day security operations in a highly ambiguous and dynamically fluid environment. The Security Manager conducts a variety of security assessments, administers mitigations, and tracks security issues through to resolution. The Security Manager leverages their security expertise to implement security plans, policies, and programs; respond to and escalate operational security concerns; and work closely with the guard force services to deliver best-in-class security services.

Key job responsibilities
Deliver best-in-class security services focused on enhancing the safety and security of all our employees, contractors, and visitors.
Be the trusted security advisor and subject matter expert in the assigned area of responsibility, through high quality communication and excellent briefing skills.
Manage day-to-day security operations for a diverse portfolio of sites and customers with unique requirements.
Implement security plans, policies, and programs in support of the team and organizational goals.
Coordinate security incident response.
Respond to customer security concerns.
Monitor the external threat environments in the defined area and take measures to minimize security risk to the business to the dynamic security environment.
Successfully align ACS metrics, goals, and strategic direction across the geographic area to support overall team mission.
Earn trust through key customer and stakeholder engagements, and liaison with external partners.
Communicate accurately and in a timely manner with stakeholders.
Build and maintain close relationships with peers at other security functions to exchange and share security concerns and collaborate on closing gaps and building best practices.

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 looking for a hands-on Marketing Lead to build Scalas marketing foundations from the ground up.

This is a rare opportunity for a B2B marketer to take ownership of how a cutting-edge computational biology software company communicates its product, creates demand and supports commercial growth.

Reporting directly to the CEO, you will turn complex science and technology into clear market-facing assets, increase awareness of Scala among relevant biotech, pharma and industrial audiences and create the marketing infrastructure needed to support lead generation, sales, partnerships and events.
Location: Tel Aviv (Hybrid)

Key Responsibilities

Own Scalas core messaging and content direction, translating complex science and product value into clear, compelling communication for biotech, pharma and life-science audiences.

Create high-quality marketing and commercial assets, including website content, one-pagers, presentations, case-study content, webinar materials, event assets and outreach-support materials.

Develop targeted campaigns that generate and nurture qualified leads, supporting Sales, Business Development and SDR efforts in opening and advancing commercial conversations.

Manage Scalas digital presence and content distribution across the website, social channels, SEO/AIO, and other relevant visibility channels.

Manage external marketing vendors to support marketing execution.

Build simple marketing workflows and use data, feedback, and AI tools to improve content, campaigns and execution over time.

We are looking for an Applied AI Researcher to join our multidisciplinary Antibody team composed of computational biologists, mathematicians and protein designers. In this role, you will drive the development and application of advanced machine learning methods to design and optimize antibodies, contributing directly to cutting-edge therapeutic programs and to the evolution of Scalas computational platform.

Develop and apply cutting-edge AI/ML methods for antibody design, including generative modeling and protein language models

Design and implement algorithms for multi-objective optimization of antibodies (e.g., affinity, specificity, stability, developability)

Build tools to support iterative design cycles, combining computational predictions with experimental feedback

Collaborate closely with experimental and computational teams to translate models into impactful design outcomes

Stay current with advances in machine learning, structural biology, and AI-driven protein design

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