Amazon 2030 call for proposals - Spring 2026

Amazon 2030 call for proposals - Spring 2026 is sponsored by Amazon. Amazon invites research proposals addressing science and engineering challenges with the potential for real-world impact within the next three to five years, particularly those tackling hard problems where scale matters.

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Information and knowledge management Operations research and optimization Security, privacy, and abuse prevention Our scientific contributions Research from our scientists and collaborators. Our experts present and discuss cutting-edge research at scientific meetings globally. The latest from Amazon researchers Technical deep-dives and perspectives from our scientists.

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Carnegie Mellon University Tennessee State University University of California, Los Angeles University of Illinois Urbana-Champaign University of Southern California University of Texas at Austin Carnegie Mellon University Tennessee State University University of California, Los Angeles University of Illinois Urbana-Champaign University of Southern California University of Texas at Austin Meet the team building useful AI agents.

Try Amazon’s frontier foundation models. Meet the team building useful AI agents. Try Amazon’s frontier foundation models.

Faculty research opportunities on industry-scale technical challenges. Postdoctoral Science Program Early-career research opportunities alongside experienced industry scientists. Faculty research opportunities on industry-scale technical challenges.

Postdoctoral Science Program Early-career research opportunities alongside experienced industry scientists. Amazon 2030 call for proposals - Spring 2026 Advancing science through scale-driven innovation in the next three to five years. By Amazon Research Awards team Amazon invites research proposals addressing science and engineering challenges with the potential for real-world impact within the next three to five years.

We seek rigorous work that tackles hard problems where scale matters — research grounded in the constraints of real systems but ambitious about what those systems can become. While proposals must demonstrate scientific depth and technical rigor, we encourage researchers to go beyond incremental improvements and propose new approaches to known, difficult problems.

This call targets research where the path from discovery to impact is visible but not yet traveled.

We welcome proposals including, but not limited to, ideas that: Address challenges where scale creates difficulty that conventional approaches cannot handle Advance responsible research practices, including consideration of societal impact, privacy, security and safety implications Propose methods that meaningfully improve on current approaches Enable capabilities that complex systems need but do not yet have Combine methods across disciplines to solve applied problems While we welcome proposals from all scientific disciplines, we encourage proposals in areas of applied technical challenges, such as AI for science, cloud and distributed systems, robotics, security and privacy, hardware, sustainability, and health sciences.

This Amazon 2030 track complements our standard Amazon Research Awards program. If your idea aligns with an open Amazon Research Awards call for proposals, submit your proposal directly through that CFP. We welcome proposals here for all topics not covered by open Amazon Research Awards calls for proposal.

Submission period: March 25 — May 13, 2026 (11:59PM Pacific Time) .

Decision letters will be sent out in August 2026 Selected Principal Investigators (PIs) may receive the following: Unrestricted cash funds, up to $100,000 USD AWS Promotional Credits , no more than $70,000 USD on average Training and tool resources, including tutorials and hands-on sessions with Amazon scientists and engineers Awards are structured as one-time unrestricted gifts.

The budget should include a list of expected costs specified in USD, and should not include administrative overhead costs. The final award amount will be determined by the awards panel. Please refer to the ARA program rules on the rules and eligibility page .

Proposals should be prepared according to the proposal template . In addition, to submit a proposal for this CFP, please also include the following information: What hard problem does your research address, and why has it resisted solution at scale? How does your approach differ from existing methods?

What would make this research impactful rather than incremental? What are the key milestones between your research and practical adoption? Why is now the right time to pursue this work?

What recent developments or enabling factors make it feasible? What are the key risks and how will you mitigate them? What safety considerations or potential dual-use concerns does your research raise, and how will you address them?

How might your research advance the field broadly? What are potential applications of your work that could benefit society, including potential applications at organizations like Amazon? Proposals will be evaluated on the scientific quality and novelty of the research, technical feasibility of the proposed approach, potential for real-world impact at scale, and readiness of the work to deliver meaningful outcomes.

Expectations from recipients Amazon Research Awards team Sr. Applied Scientist, Trust CX Innovations&AI Policy Alexa+ is Amazon’s next-generation, AI-powered assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience.

The Trust CX Innovations team is looking for an Applied Scientist with strong background in Generative AI space to build solutions that help in upholding customer trust for Alexa+. A Senior Applied Scientist in Trust CX innovations, you will be at the forefront of developing innovative solutions to critical challenges in AI trust and privacy. You'll lead research in trust-preserving machine learning techniques.

We are working on revolutionizing the way Amazonians work and collaborate. You will help us achieve new heights of productivity through the power of advanced generative AI technologies. We are looking for a leader with strong technical experiences a passion for building scientific driven solutions in a fast-paced environment.

You should have good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases.

You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.

Key job responsibilities • Lead research initiatives in generative AI, focusing on LLMs, multimodal models, and frontier AI capabilities • Develop innovative approaches for model optimization, including prompt engineering, few-shot learning, and efficient fine-tuning • Pioneer new methods for AI safety, alignment, and responsible AI development • Design and execute sophisticated experiments to evaluate model performance and behavior • Lead the development of production-ready AI solutions that scale efficiently • Collaborate with product teams to translate research innovations into practical applications • Guide engineering teams in implementing AI models and systems at scale • Author technical papers for top-tier conferences • File patents for novel AI technologies and applications A day in the life You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our trust-preserving experiences.

This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.

About the team Who We Are: Trust CX Innovations is a strategic innovation team within Amazon Devices & Services that focuses on advancing AI technology while prioritizing customer trust and experience. Our team operates at the intersection of artificial intelligence, privacy engineering and customer-centric design.

Data Scientist, WW DSP Analytics The WW DSP Analytics team is a centralized analytics organization within Amazon's Last Mile Delivery Service Partner (DSP) program. We build best-in-class solutions that enable data-driven decision making across our global DSP ecosystem.

Our team partners with internal stakeholders, DSP owners, and cross-functional teams to deliver insights that drive operational excellence, business growth, and the success of small business owners in Last Mile delivery. Our work directly impacts customer experience, driver and station associate experience, DSP success, and Amazon's sustainable growth.

We are seeking a passionate Data Scientist with strong machine learning and analytical skills to join our team. You will work on challenging problems in the delivery planning space, applying data science rigor to generate actionable insights that support DSP performance measurement and continuous improvement.

Key job responsibilities Develop Science Solutions for DSP Performance: Design and implement data science solutions to optimize Delivery Service Partner (DSP) operations, capacity planning, and performance measurement across the global DSP network Apply Advanced Machine Learning Techniques: Leverage solid research experience in Machine Learning and statistical modeling to identify opportunities for improving DSP analytics, forecasting models, and performance measurement systems Optimize DSP Program Policies and Sentiment Risks: Analyze sentiment risks and enhance existing algorithms that support DSP program management, including scorecard metrics, capacity reliability models, and performance evaluation frameworks Analyze Business Requirements with Return on Investment (ROI) calculation: Demonstrate superior logical thinking by quickly approaching large, ambiguous problems, translating high-level DSP program requirements into mathematical models, and applying models to predict the return on investment.

Build Production-Scale Analytics: Contribute to the development and deployment of scalable data models, dashboards, and automated reporting systems that enable self-service analytics for DSP stakeholders Accelerate GenAI footprint: Partner with Data Engineers to expand our GenAI tools and improve developer productivity along with raising the bar on data quality.

Conduct Independent Data Analysis: Mine and analyze complex datasets across multiple domains (performance metrics, financial data, operational data) using programming and statistical analysis tools to generate actionable insights Thrive in a Collaborative Environment: Excel in a fast-paced analytics organization that encourages collaborative and creative problem-solving, measure and communicate analytical risks, constructively critique peer work, and align research focuses with DSP program strategic needs Partner Cross-Functionally: Work closely with Business Intelligence Engineers, program teams, and DSP stakeholders to define KPIs, validate analytical approaches, and ensure insights drive meaningful business outcomes Applied Scientist, AWS Automated Reasoning Sr. Applied Scientist, AWS Automated Reasoning Sr. Applied Scientist, AWS Automated Reasoning Applied Scientist, AWS Automated Reasoning Applied Scientist, AWS Automated Reasoning Applied Scientist, AWS Automated Reasoning Satellite GNC Engineer, Amazon Leo Amazon Leo is Amazon’s low Earth orbit satellite network.

Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. This position is part of the Satellite Attitude Determination and Control team.

You will design and analyze the control system and algorithms, support development of our flight hardware and software, help integrate the satellite in our labs, participate in flight operations, and see a constellation of satellites flow through the production line into orbit.

Key job responsibilities Key job responsibilities Design and analyze algorithms for estimation, flight control, and precise pointing using linear methods and simulation. Develop and apply models and simulations, with various levels of fidelity, of the satellite and our constellation. Component level environmental testing, functional and performance checkout, subsystem integration, satellite integration, and in space operations.

Manage the spacecraft constellation as it grows and evolves. Continuously improve our ability to serve customers by maximizing payload operations time. Develop autonomy for Fault Detection and Isolation on board the spacecraft.

A day in the life This is an opportunity to play a significant role in the design of an entirely new satellite system with challenging performance requirements. The large, integrated constellation brings opportunities for advanced capabilities that need investigation and development.

The constellation size also puts emphasis on engineering excellence so our tools and methods, from conceptualization through manufacturing and all phases of test, will be state of the art as will the satellite and supporting infrastructure on the ground. You will find that Amazon Leo's mission is compelling, so our program is staffed with some of the top engineers in the industry.

Our daily collaboration with other teams on the program brings constant opportunity for discovery, learning, and growth. About the team Our team has lots of experience with various satellite systems and many other flight vehicles. We have bench strength in both our mission and core GNC disciplines.

We design, prototype, test, iterate and learn together. Because GNC is central to safe flight, we tend to drive Concepts of Operation and many system level analyses.

Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

The Generative Artificial Intelligence (AI) Innovation Center team at AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies leveraging cutting-edge generative AI algorithms. As an Applied Scientist, you'll partner with technology and business teams to build solutions that surprise and delight our customers.

We’re looking for Applied Scientists capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities - Collaborate with scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges - Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction.

A day in the life Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.

We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. About the team Diverse Experiences AWS values diverse experiences.

Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious.

Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer.

That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. What if I don’t meet all the requirements? That’s okay!

We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills.

Your onboarding will set you up for success, including a combination of formal and informal training. You’ll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today.

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