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Amazon Research Scientist Jobs (NOW HIRING)

Amazon's eCommerce Foundation (eCF) organization provides the core technologies that drive and ... CloudTune is looking for a Research Scientist to join our forecasting and optimization team. The ...

Amazon's eCommerce Foundation (eCF) organization provides the core technologies that drive and ... CloudTune is looking for a Research Scientist to join our forecasting and optimization team. The ...

Amazon's eCommerce Foundation (eCF) organization provides the core technologies that drive and ... CloudTune is looking for a Research Scientist to join our forecasting and optimization team. The ...

Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver ... As a Research Scientist on our team, you will find optimal combinatorial solutions to very large ...

Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver ... As a Research Scientist on our team, you will find optimal combinatorial solutions to very large ...

We are seeking an Research Scientist to lead the development of evaluation frameworks and data ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon ... About the Role We're looking for an AI Research Scientist to push the boundaries of how advanced AI ...

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Amazon Research Scientist information

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$50.5K

$130.1K

$174K

How much do amazon research scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for amazon research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is an Amazon Research Scientist?

An Amazon Research Scientist is responsible for conducting cutting-edge research to develop innovative solutions in areas such as machine learning, artificial intelligence, operations research, and data science. They apply advanced statistical and analytical techniques to solve complex business problems, improve algorithms, and enhance customer experiences. Research Scientists at Amazon collaborate with engineering, product, and business teams to deploy research-driven insights into real-world applications. Their work influences decision-making, optimizes processes, and drives advancements in technologies used across Amazon's services and products.

What does an Amazon Research Scientist do?

A typical day for an Amazon Research Scientist involves designing and running experiments, analyzing large datasets, developing and deploying machine learning models, and collaborating with product and engineering teams. You’ll spend part of your day reading the latest research and brainstorming innovative solutions to complex problems faced by Amazon’s business units. Regular meetings with cross-functional teams are common, where you’ll discuss project progress and share insights. This dynamic environment allows you to see the real-world impact of your research and gives you opportunities to continuously expand your technical and collaborative skills.

What are the key skills and qualifications needed to thrive as an Amazon Research Scientist?

To thrive as an Amazon Research Scientist, you need a deep foundation in quantitative fields such as machine learning, computer science, statistics, or related disciplines, typically demonstrated by a PhD or extensive research experience. Proficiency in programming languages (such as Python, Java, or Scala), experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools are often expected. Strong analytical thinking, creativity, and the ability to collaborate across multidisciplinary teams are valuable soft skills in this role. These skills are crucial for driving innovative solutions, leveraging Amazon’s vast datasets, and making impactful business decisions.

Are Amazon Research Scientists in high demand?

Amazon Research Scientists are in high demand due to the company's focus on innovation in areas like machine learning, natural language processing, and computer vision. The role typically requires advanced degrees and expertise in data analysis, AI, or related fields, and job growth in tech and research sectors continues to be strong.
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Infographic showing various Amazon Research Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 10% Part Time, and 1% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist, CloudTune

Seattle, WA

Amazon
IT Services • 10K+ employees

Full-time

Posted 4 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,180 frontline employees who took The Breakroom Quiz


Job description

Amazon's eCommerce Foundation (eCF) organization provides the core technologies that drive and power Amazon's Stores, Digital, and Other (SDO) businesses. Millions of customer page views and orders per day are enabled by the systems eCF builds from the ground up. CloudTune, within eCF, empowers growth and business agility needs by automatically and efficiently managing AWS capacity and business processes needed to safely meet Amazon's customer demand.

CloudTune serves its primary customers, internal software teams, through forecast-driven automation of cost controllership, capacity management, and scaling. We predict expected load, and drive procurement and allocation of AWS capacity for new product launches and high-velocity events like Prime Day and Cyber Monday.
CloudTune is looking for a Research Scientist to join our forecasting and optimization team. The team develops sophisticated algorithms that combine machine learning-based demand forecasting with mathematical optimization to solve large-scale capacity planning problems under uncertainty

We work with massive datasets - spanning thousands of availability zone and instance family combinations across global regions - to determine optimal resource allocation strategies that balance infrastructure holding costs against service availability requirements. These models directly inform multi-million dollar capacity investment decisions and drive automated procurement, retention, and release policies across Amazon's compute infrastructure.
As a Research Scientist in CloudTune, you will work with other scientists, software engineers, data engineers, and product managers on a variety of important research problems in the areas of stochastic optimization, time series modeling, and operations research. You will formulate capacity planning challenges as constrained optimization problems, develop demand forecasting models that account for asymmetric risk, and design allocation frameworks that minimize costs while maintaining fulfillment guarantees

You will analyze and process large amounts of data, develop new algorithms and improve existing approaches based on statistical models, machine learning algorithms, and big data solutions to automatically scale Amazon's compute infrastructure, optimizing the balance between availability risk and cost efficiency for all of Amazon's businesses.
Key job responsibilities
- Formulate capacity planning and resource allocation challenges as mathematical optimization problems (linear programming, stochastic optimization, mixed-integer programming)
- Develop demand forecasting models using machine learning (XGBoost, quantile regression, deep learning) with risk-aware loss functions tailored to operational objectives
- Design and implement safety stock and retention policy optimization frameworks that balance holding costs against fulfillment risk across constrained and unconstrained capacity pools
- Process and analyze large-scale operational data (order histories, capacity utilization, availability constraints) to identify patterns and inform model development
- Create, enhance, and maintain technical documentation, and present research findings to scientists, engineering teams, and senior leadership


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US