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Amazon Applied Scientist Jobs (NOW HIRING)

Amazon

Applied Scientist, Amazon Redshift

Redmond, WA · On-site

Amazon Redshift is the world's most popular fully managed cloud data warehouse. Tens of thousands ... We are looking for an Applied Scientist to build deep learning models that predict query resource ...

Amazon

Applied Scientist, Amazon Redshift

Redmond, WA · On-site

Amazon Redshift is the world's most popular fully managed cloud data warehouse. Tens of thousands ... We are looking for an Applied Scientist to build deep learning models that predict query resource ...

Amazon

Sr. Applied Scientist- P13N

Seattle, WA · On-site

$104K - $142K/yr

About our organization: Our team is part of Amazon's Personalization organization, a high ... Key job responsibilities As an Applied Scientist on the team you will be working on the state of ...

Amazon

Applied Scientist

Seattle, WA · On-site

At Amazon Selection and Catalog Systems (ASCS), our mission is to power the online buying ... applied scientist to help us make the world's best product catalog even better. In this role, you ...

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How much do amazon applied scientist jobs pay per year?

As of Jul 23, 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 does an applied scientist do at Amazon?

An applied scientist at Amazon develops and implements machine learning models and algorithms to solve real-world problems, such as improving product recommendations, search results, and logistics. They often work with large datasets, use tools like Python and AWS, and collaborate with cross-functional teams to deploy scalable solutions.

How much does a L6 applied scientist make at Amazon?

An L6 Applied Scientist at Amazon typically earns a base salary ranging from $150,000 to $180,000 per year, with total compensation including bonuses and stock options often exceeding $200,000 annually. Compensation varies based on experience, location, and performance, and the role usually requires strong skills in machine learning, data analysis, and programming.

How much does Amazon L5 applied scientist make?

An Amazon L5 Applied Scientist typically earns a base salary ranging from $130,000 to $170,000 annually, with total compensation including bonuses and stock options often exceeding $200,000. Compensation varies based on experience, location, and performance, and the role requires strong skills in machine learning, data analysis, and programming.

What kind of projects and collaborative opportunities can an Applied Scientist at Amazon 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.

What is an Amazon Applied Scientist job?

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.

How much does an applied scientist make at Amazon?

An Amazon Applied Scientist typically earns a base salary ranging from $120,000 to $180,000 per year, with total compensation including bonuses and stock options often exceeding $200,000. Compensation varies based on experience, location, and level within the company, and the role often requires strong skills in machine learning, data analysis, and programming.

What are the key skills and qualifications needed to thrive in the Amazon Applied Scientist position, and why are they important?

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.

More about Amazon Applied Scientist jobs
What cities are hiring for Amazon Applied Scientist jobs? Cities with the most Amazon Applied Scientist job openings:
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Amazon Applied Scientist jobs near you
Infographic showing various Amazon Applied Scientist job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $115,978 per year, or $55.8 per hour.
Applied Scientist, Amazon Redshift

Applied Scientist, Amazon Redshift

Amazon

Redmond, WA • On-site

Full-time

Posted 4 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,002 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Amazon Redshift is the world's most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers.

We are always looking for the innovative engineers to help shape the future of Redshift.
We are looking for an Applied Scientist to build deep learning models that predict query resource consumption, enabling intelligent workload management at massive scale. Query resource prediction is at the heart of Redshift's workload management, determining how queries are scheduled, scaled, and executed across the system.
This is a unique opportunity to shape the future of intelligent query management for the world's most popular cloud data warehouse, powering analytical workloads for Fortune 500 companies, startups, and everything in between. You will bring deep expertise in one or more areas such as deep learning, graph neural networks, or reinforcement learning, with the ability to work in a fast-moving and collaborative environment to deliver broad business impact at scale.
Key job responsibilities
As an Applied Scientist on the Redshift Query Optimizer team, you will research and develop deep learning models that power resource prediction for one of the world's largest cloud data warehouses

You will take ownership of the end-to-end ML lifecycle, from problem formulation and data analysis to model training, evaluation, and production deployment. You will design novel approaches to understand queries and predict resource needs across diverse and evolving workloads. You will run experiments at scale on real production data, and collaborate closely with systems engineers to deliver low-latency inference in a highly available environment.

You will publish your research at top-tier academic venues and contribute to the broader ML-for-systems community. And you will help shape the science roadmap for autonomous database operations while mentoring fellow scientists and engineers.
About the team
AWS values diverse experiences. Even if you do not meet all of the preferred 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 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 Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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