Applied Scientist Jobs in Seattle, WA
Applied Scientist jobs in Seattle are concentrated in South Lake Union, Bellevue, and the University District, where technology, e-commerce, and biotech employers compete for machine learning and NLP talent. Hiring is active across those sectors, with openings at Amazon, Amazon Web Services, and TikTok. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 158+ Applied Scientist jobs
DESCRIPTION
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video team member, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
Key job responsibilities
The science challenges include:
- Heterogeneous customer responses. The same customer responds differently to ads depending on what they’re watching, how engaged they are, and their broader streaming context. We need to understand and predict this variation to make better advertising decisions in real time.
- Signal sparsity in streaming. Unlike search or retail advertising, streaming offers no clicks, no conversions, and limited direct feedback. We must develop creative approaches to infer customer preferences, intent, and tolerance from indirect behavioral signals.
- Personalization at scale. A one-size-fits-all ad experience leaves value on the table for both customers and the business. We build systems that adapt ad load, placement, and content to individual viewers across 100M+ customers and 100k+ titles.
- Small effects, large variance. Ad interventions typically produce 0.1-2% shifts in engagement, effects easily overwhelmed by natural behavioral variance. Measuring, attributing, and optimizing these small signals requires rigorous experimental design and causal methodologies.
- Competing objectives. Revenue, customer engagement, long-term retention, and advertiser value are in tension. We develop principled frameworks to navigate these tradeoffs and optimize for sustainable outcomes rather than any single metric.
A day in the life
- Contribute to the research and development of ML models that personalize advertising decisions for 100M+ customers across 100k+ titles, with production deployment in mind
- Develop deep learning architectures (multi-task learning, embedding-based representations) for customer behavior prediction at scale
- Design and analyze large-scale A/B experiments, applying causal inference techniques to measure and optimize the impact of ad strategies on customer engagement and monetization
- Partner with engineering to ensure models meet production latency and scalability requirements
- Collaborate with product managers to frame business problems as tractable ML problems and translate findings into product decisions
- Shape the team’s scientific roadmap, identifying high-impact research directions
About the team
Prime Video Ads is pioneering the use of Generative AI, Deep Learning and Causal ML to empower the next generation of Ads experience in Prime Video. Our vision is to build the world’s most valuable and differentiated ad-supported streaming platform: one where every ad is relevant to the viewer, and every dollar spent by an advertiser delivers measurable results. We are seeking lead applied scientists who have demonstrated experience in advancing state of the art ML algorithms, particularly in Personalization, Relevance, Casual Inference and Gen-AI areas. Your role will be to deliver these innovations as production-ready systems at Amazon scale.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with programming languages such as Python, Java, C++
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.
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
DESCRIPTION
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video team member, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
Key job responsibilities
The science challenges include:
- Heterogeneous customer responses. The same customer responds differently to ads depending on what they’re watching, how engaged they are, and their broader streaming context. We need to understand and predict this variation to make better advertising decisions in real time.
- Signal sparsity in streaming. Unlike search or retail advertising, streaming offers no clicks, no conversions, and limited direct feedback. We must develop creative approaches to infer customer preferences, intent, and tolerance from indirect behavioral signals.
- Personalization at scale. A one-size-fits-all ad experience leaves value on the table for both customers and the business. We build systems that adapt ad load, placement, and content to individual viewers across 100M+ customers and 100k+ titles.
- Small effects, large variance. Ad interventions typically produce 0.1-2% shifts in engagement, effects easily overwhelmed by natural behavioral variance. Measuring, attributing, and optimizing these small signals requires rigorous experimental design and causal methodologies.
- Competing objectives. Revenue, customer engagement, long-term retention, and advertiser value are in tension. We develop principled frameworks to navigate these tradeoffs and optimize for sustainable outcomes rather than any single metric.
A day in the life
- Contribute to the research and development of ML models that personalize advertising decisions for 100M+ customers across 100k+ titles, with production deployment in mind
- Develop deep learning architectures (multi-task learning, embedding-based representations) for customer behavior prediction at scale
- Design and analyze large-scale A/B experiments, applying causal inference techniques to measure and optimize the impact of ad strategies on customer engagement and monetization
- Partner with engineering to ensure models meet production latency and scalability requirements
- Collaborate with product managers to frame business problems as tractable ML problems and translate findings into product decisions
- Shape the team’s scientific roadmap, identifying high-impact research directions
About the team
Prime Video Ads is pioneering the use of Generative AI, Deep Learning and Causal ML to empower the next generation of Ads experience in Prime Video. Our vision is to build the world’s most valuable and differentiated ad-supported streaming platform: one where every ad is relevant to the viewer, and every dollar spent by an advertiser delivers measurable results. We are seeking lead applied scientists who have demonstrated experience in advancing state of the art ML algorithms, particularly in Personalization, Relevance, Casual Inference and Gen-AI areas. Your role will be to deliver these innovations as production-ready systems at Amazon scale.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with programming languages such as Python, Java, C++
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.
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
See All 158+ Applied Scientist Jobs in Seattle
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Find Applied Scientist JobsApplied Scientist Job Market in Seattle
Who's Hiring
- Amazon108
- Amazon Web Services27
- TikTok6
- Apple3
- SentiLink3
Top Industries Hiring
- Technology & Software14
- Retail9
- E-Commerce & Online Marketplaces7
- Electronics & Hardware3
- Construction & Real Estate3
Applied Scientist Jobs in Seattle: Frequently Asked Questions
How do I get an applied scientist job in Seattle?
The strongest path into Seattle's applied scientist market runs through its technology and cloud computing sector, where teams in South Lake Union and Bellevue hire most heavily. Candidates who can demonstrate production ML experience, published research, or contributions to large-scale modeling projects stand out. Targeting mid-size AI-focused companies alongside the major tech employers broadens your options and shortens hiring timelines.
Which companies hire applied scientists in Seattle?
Seattle applied scientist roles are posted by Amazon, Amazon Web Services, and TikTok and others right now, based on current listings on Migrate Mate as of November 2026. Seattle's employer mix ranges from global cloud and e-commerce platforms to healthcare AI startups and defense contractors based on the Eastside.
Are there remote applied scientist jobs in Seattle?
Yes, though availability depends on the role: modeling and research-heavy positions tend to be more remote-friendly than applied work tied to proprietary data infrastructure. About 21% of applied scientist openings tied to Seattle are remote or hybrid as of November 2026, with fully remote roles most common at cloud and SaaS companies headquartered in the region.
How can I get an applied scientist job in Seattle with little or no experience?
The most realistic entry path is through a research internship or new-grad program at one of Seattle's large tech employers, which recruit directly from the University of Washington and other research universities. Applied scientist associate roles, research engineer positions, and data scientist roles at growth-stage startups in South Lake Union frequently serve as stepping stones, especially for candidates with strong graduate coursework or a thesis project in ML or NLP.
Which industries hire the most applied scientists in Seattle?
Most applied scientist openings in Seattle sit in Technology & Software, Retail, and E-Commerce & Online Marketplaces, per current listings on Migrate Mate as of November 2026. Seattle's density of cloud infrastructure, e-commerce, and health-tech companies creates sustained demand for applied scientists who can move models from research into deployed products.
Related Jobs in Washington
See All 158+ Applied Scientist Jobs in Seattle
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