Applied Scientist Jobs in Washington
Applied Scientist jobs in Washington are among the most active in the country, concentrated in machine learning, natural language processing, and recommendation systems across the technology, cloud computing, and biotech sectors, with openings from entry-level research roles through principal scientist positions. The bulk of hiring sits in Seattle and Bellevue, with a secondary cluster in Redmond, where Amazon, Microsoft, and the Allen Institute for AI maintain large applied science teams. Demand is especially strong for scientists with expertise in deep learning, large language models, and statistical modeling for production systems. Find a role that fits below and apply directly.
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Showing 5 of 166+ Applied Scientist jobs
DESCRIPTION
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
The Marketplace Intelligence (MI) team is looking for an Applied Science Manager to lead a team of scientists and engineers in building production ML and bandit solutions to customize the search experience. We determine which ads to show in Amazon search, where to place them, how many ads to place, and to which customers. This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests. To do this, we apply a broad range of machine learning, causal inference, and optimization techniques to continuously explore, learn, and optimize the allocation and ranking of ads on the search page. We are an interdisciplinary team with a focus on customer obsession and inventing and simplifying. Our primary focus is on improving the SP experience in search by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them.
You’ll lead the MI Interleaving team. The Interleaving team’s mission is to personalize and contextualize SP ad allocation on the search page. We do this by modeling shopper responses to the number, placement, and quality of ads. We use online experimentation, simulation, causal modeling, and online feedback to estimate the cost of displacing organic and sponsored content. Then, we incorporate those estimates into ad allocation to deliver an efficient and customized shopping experience for shoppers and improved discoverability and sales for advertisers. You’ll own the experimentation systems, models, and online model serving infrastructure to support these solutions.
This is a unique opportunity for someone who wants to have broad business impact, a direct impact on customers and the search experience, build scaled real-time LLM and ML solutions, and lead a cross-functional team. If you are interested in machine learning, bandit learning, building production systems, and leading a team to build these solutions, this role is for you. We’re looking for a leader who can help lay out the vision for the team and grow with it.
Key job responsibilities
- Lead a team of scientists and engineers in building scalable machine learning solutions.
- Develop a vision for contextualizing and personalizing SP ads in Amazon search.
- Create, develop, and drive a data-driven product strategy to define the right quantitative measures of shopper impact, using this to evaluate decisions and opportunities.
- Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.
- Own a portfolio of pragmatic long-term investments that drive long-term growth of the ads and retail businesses.
- Develop real-time LLM and ML algorithms to allocate billions of ads per day in advertising auctions.
- Develop efficient algorithms for multi-objective optimization and AI control methods to find operating points for the ad marketplace then evolve them.
- Develop scientists and ML engineers around machine learning, economics, and optimization for Advertising.
BASIC QUALIFICATIONS
- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language
PREFERRED QUALIFICATIONS
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, SEATTLE
SALARY
183,800.00 - 248,700.00 USD annually
DESCRIPTION
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
The Marketplace Intelligence (MI) team is looking for an Applied Science Manager to lead a team of scientists and engineers in building production ML and bandit solutions to customize the search experience. We determine which ads to show in Amazon search, where to place them, how many ads to place, and to which customers. This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests. To do this, we apply a broad range of machine learning, causal inference, and optimization techniques to continuously explore, learn, and optimize the allocation and ranking of ads on the search page. We are an interdisciplinary team with a focus on customer obsession and inventing and simplifying. Our primary focus is on improving the SP experience in search by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them.
You’ll lead the MI Interleaving team. The Interleaving team’s mission is to personalize and contextualize SP ad allocation on the search page. We do this by modeling shopper responses to the number, placement, and quality of ads. We use online experimentation, simulation, causal modeling, and online feedback to estimate the cost of displacing organic and sponsored content. Then, we incorporate those estimates into ad allocation to deliver an efficient and customized shopping experience for shoppers and improved discoverability and sales for advertisers. You’ll own the experimentation systems, models, and online model serving infrastructure to support these solutions.
This is a unique opportunity for someone who wants to have broad business impact, a direct impact on customers and the search experience, build scaled real-time LLM and ML solutions, and lead a cross-functional team. If you are interested in machine learning, bandit learning, building production systems, and leading a team to build these solutions, this role is for you. We’re looking for a leader who can help lay out the vision for the team and grow with it.
Key job responsibilities
- Lead a team of scientists and engineers in building scalable machine learning solutions.
- Develop a vision for contextualizing and personalizing SP ads in Amazon search.
- Create, develop, and drive a data-driven product strategy to define the right quantitative measures of shopper impact, using this to evaluate decisions and opportunities.
- Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.
- Own a portfolio of pragmatic long-term investments that drive long-term growth of the ads and retail businesses.
- Develop real-time LLM and ML algorithms to allocate billions of ads per day in advertising auctions.
- Develop efficient algorithms for multi-objective optimization and AI control methods to find operating points for the ad marketplace then evolve them.
- Develop scientists and ML engineers around machine learning, economics, and optimization for Advertising.
BASIC QUALIFICATIONS
- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language
PREFERRED QUALIFICATIONS
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, SEATTLE
SALARY
183,800.00 - 248,700.00 USD annually
See All 166+ Applied Scientist Jobs in Washington
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Find Applied Scientist JobsApplied Scientist Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Applied Scientist Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon121
- Microsoft10
- Amazon Web Services9
- Apple5
- TikTok4
Top Industries Hiring
- Technology & Software40
- Retail30
- E-Commerce & Online Marketplaces29
- Electronics & Hardware3
- Construction & Real Estate2
What Washington Employers Look For
The qualifications that appear most often in applied scientist jobs across Washington.
- Master's or PhD in computer science, statistics, or a related quantitative field
- Proficiency in Python, R, or Scala for building and deploying machine learning models
- Hands-on experience designing and running A/B tests and interpreting causal inference results
- Strong command of deep learning frameworks such as PyTorch or TensorFlow
- Ability to work with large-scale distributed data systems including Spark or AWS infrastructure
- Published research or demonstrable record of translating models into shipped product features
Applied Scientist Jobs in Washington: Frequently Asked Questions
How do you become a applied scientist in Washington?
Applied scientist roles in Washington do not require a state-issued license, but employers consistently expect a graduate degree in computer science, machine learning, statistics, or a closely related field. Most Washington hiring pipelines, especially at major Seattle-area technology companies, treat a master's degree as the floor and a PhD as a differentiator for research-heavy positions. Candidates strengthen their profile by building a portfolio of deployed models or contributing to peer-reviewed work before applying.
How much do applied scientists make in Washington?
Applied scientists in Washington earn a median of about $163,350 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $79,930 for the lowest 10% to over $220,040 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire applied scientists in Washington?
Employers hiring applied scientists in Washington right now include Amazon, Microsoft, and Amazon Web Services, based on current listings on Migrate Mate as of August 2026. Washington's concentration of major technology headquarters and cloud platform divisions means applied scientist openings here tend to involve production-scale systems and high research impact.
Which Washington cities have the most applied scientist jobs?
Seattle, Bellevue, and Redmond have the most applied scientist openings in Washington. Seattle and Bellevue dominate because Amazon and a dense cluster of AI-focused startups are headquartered there, while Redmond draws heavily from Microsoft's research and product divisions, making even smaller suburban areas competitive hiring markets for this role.
Are there remote applied scientist jobs in Washington?
Yes, and more than most fields. About 27% of applied scientist openings tied to Washington are remote or hybrid as of August 2026, reflecting how much of the work happens on code, data pipelines, and model experiments rather than on-site equipment. Fully remote availability is highest for roles focused on modeling and analysis rather than those requiring collaboration on physical hardware or embedded systems.
How can I get hired as a applied scientist in Washington with little or no experience?
The most realistic entry path is an internship or new-graduate program at one of Washington's large technology employers, which run structured applied science internships that convert to full-time offers. Amazon's Science team and Microsoft Research both recruit graduate students directly into rotational or entry-level scientist roles. Candidates without direct experience often transition from data analyst or machine learning engineer positions, using a strong GitHub portfolio of end-to-end model projects and a completed master's thesis to demonstrate applied capability.
Where can I find and apply to applied scientist jobs in Washington?
You can find and apply to applied scientist jobs in Washington on Migrate Mate, which lists current Washington openings across industries and experience levels. Search the listings, find roles that fit your background and target location, and apply directly to each one.
See All 166+ Applied Scientist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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