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Amazon Applied Scientist Jobs (NOW HIRING)

Key job responsibilities As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive ...

Sr. Applied Scientist

Seattle, WA · On-site

$104K - $142K/yr

Using Amazon's large-scale computing resources, you will ask research questions about customer ... You will participate in the Amazon ML community and mentor Applied Scientists and software ...

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Amazon Applied Scientist information

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$24.5K

$116K

$206K

How much do amazon applied scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for amazon applied scientist in the United States is $115,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $170,500.00 per year, depending on experience, location, and employer.

What is an Amazon Applied Scientist?

An Amazon Applied Scientist applies machine learning, statistics, and data science techniques to solve complex business and technical problems. They work on cutting-edge AI models, optimization algorithms, and predictive analytics to improve products and services across various domains like Alexa, AWS, and supply chain logistics. Their role involves research, experimentation, and collaboration with engineering and business teams to develop scalable solutions. Strong programming, mathematical, and analytical skills are essential for this role.

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

To thrive as an Amazon Applied Scientist, you need strong expertise in machine learning, statistical modeling, and data analysis, typically backed by a PhD or master’s degree in computer science, engineering, or a related field. Proficiency with programming languages such as Python or Java, familiarity with AWS tools, and experience using frameworks like TensorFlow or PyTorch are highly valued. Excellent problem-solving, communication skills, and the ability to collaborate with cross-functional teams set standout candidates apart. These skills and qualities enable you to develop and implement innovative solutions that drive impactful business outcomes at Amazon.

What kind of projects and collaborative opportunities can an Amazon Applied Scientist expect?

As an Applied Scientist at Amazon, you will frequently work on large-scale, high-impact projects, such as optimizing core business processes, developing new machine learning models, or enhancing customer experiences. Your day-to-day responsibilities involve collaborating closely with software engineers, product managers, and business analysts to translate complex data and algorithms into actionable solutions. Participation in peer reviews, brainstorming sessions, and cross-functional meetings is common, fostering an environment of continuous learning and innovation. This collaborative structure not only maximizes the impact of your work but also provides diverse opportunities for professional growth and exposure to cutting-edge technologies.

More about Amazon Applied Scientist jobs

What cities are hiring for Amazon Applied Scientist jobs?

Cities with the most Amazon Applied Scientist job openings:

What states have the most Amazon Applied Scientist jobs?

States with the most job openings for Amazon Applied Scientist jobs include:

Infographic showing various Amazon Applied Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,978 per year, or $55.8 per hour.

Applied Scientist, Foundational AI

Amazon

Bellevue, WA • On-site

Full-time

Posted 9 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,146 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks

The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders.

An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
A day in the life
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.


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About Amazon

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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