Applied Scientist Jobs in Bellevue, WA
Applied Scientist jobs in Bellevue are concentrated in the Bellevue CBD, Spring District, and Factoria corridor, with demand driven by cloud computing, e-commerce technology, and enterprise software. Employers hiring right now include Amazon, Okta, and UiPath. Find a role that fits below and apply directly.
Find Applied Scientist JobsOverview
Showing 5 of 166+ Applied Scientist jobs
DESCRIPTION
We are seeking an exceptional Senior Applied Scientist to help develop innovative foundation models that enable delivery of billions of packages worldwide. In this role, you'll combine highly technical work with scientific leadership, ensuring the team delivers robust solutions for dynamic real-world environments. Your team will leverage Amazon's vast data and computational resources to tackle ambitious problems across a diverse set of Amazon delivery use cases.
Key job responsibilities
- Design and implement novel deep learning architectures combining a multitude of modalities, including image, video, and geospatial data.
- Solve computational problems to train foundation models on vast amounts of Amazon data and infer at Amazon scale, taking advantage of latest developments in hardware and deep learning libraries.
- As a foundation model developer, collaborate with multiple science and engineering teams to help build adaptations that power use cases across Amazon Last Mile deliveries, improving experience and safety of a delivery driver, an Amazon customer, and improving efficiency of Amazon delivery network.
- Guide technical direction for specific research initiatives, ensuring robust performance in production environments.
- Mentor fellow scientists while maintaining strong individual technical contributions.
A day in the life
- Develop and implement novel foundation model architectures, working hands-on with data and our extensive training and evaluation infrastructure
- Guide and support fellow scientists in solving complex technical challenges, from trajectory planning to efficient multi-task learning
- Guide and support fellow engineers in building scalable and reusable infra to support model training, evaluation, and inference
- Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems- Drive technical discussions within the team and and key stakeholders
- Conduct experiments and prototype new ideas
- Mentor team members while maintaining significant hands-on contribution to technical solutions
About the team
The Delivery Foundation Model team combines ambitious research vision with real-world impact. Our foundation models provide generative reasoning capabilities required to meet the demands of Amazon's global Last Mile delivery network. We leverage Amazon's unparalleled computational infrastructure and extensive datasets to deploy state-of-the-art foundation models to improve the safety, quality, and efficiency of Amazon deliveries. Our work spans the full spectrum of foundation model development, from multimodal training using images, videos, and sensor data, to sophisticated modeling strategies that can handle diverse real-world scenarios. We build everything end to end, from data preparation to model training and evaluation to inference, along with all the tooling needed to understand and analyze model performance.
Join us if you're excited about pushing the boundaries of what's possible in logistics, working with world-class scientists and engineers, and seeing your innovations deployed at unprecedented scale.
BASIC QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience
- 5+ years of building machine learning models or developing algorithms for business application experience
- Proficient with Data, experience with SQL and Spark
- Expert coders comfortable working in production environments using Python, C++ or other languages
PREFERRED QUALIFICATIONS
- Experience building foundation models for industry or research
- Experience designing multi-modal model architectures
- Experience with large-scale distributed environments for ML training and inference
- History of impactful first-author publications at major conferences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, SANTA CLARA - 192,200.00 - 260,000.00 USD annually
USA, WA, Bellevue - 167,100.00 - 226,100.00 USD annually
DESCRIPTION
We are seeking an exceptional Senior Applied Scientist to help develop innovative foundation models that enable delivery of billions of packages worldwide. In this role, you'll combine highly technical work with scientific leadership, ensuring the team delivers robust solutions for dynamic real-world environments. Your team will leverage Amazon's vast data and computational resources to tackle ambitious problems across a diverse set of Amazon delivery use cases.
Key job responsibilities
- Design and implement novel deep learning architectures combining a multitude of modalities, including image, video, and geospatial data.
- Solve computational problems to train foundation models on vast amounts of Amazon data and infer at Amazon scale, taking advantage of latest developments in hardware and deep learning libraries.
- As a foundation model developer, collaborate with multiple science and engineering teams to help build adaptations that power use cases across Amazon Last Mile deliveries, improving experience and safety of a delivery driver, an Amazon customer, and improving efficiency of Amazon delivery network.
- Guide technical direction for specific research initiatives, ensuring robust performance in production environments.
- Mentor fellow scientists while maintaining strong individual technical contributions.
A day in the life
- Develop and implement novel foundation model architectures, working hands-on with data and our extensive training and evaluation infrastructure
- Guide and support fellow scientists in solving complex technical challenges, from trajectory planning to efficient multi-task learning
- Guide and support fellow engineers in building scalable and reusable infra to support model training, evaluation, and inference
- Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems- Drive technical discussions within the team and and key stakeholders
- Conduct experiments and prototype new ideas
- Mentor team members while maintaining significant hands-on contribution to technical solutions
About the team
The Delivery Foundation Model team combines ambitious research vision with real-world impact. Our foundation models provide generative reasoning capabilities required to meet the demands of Amazon's global Last Mile delivery network. We leverage Amazon's unparalleled computational infrastructure and extensive datasets to deploy state-of-the-art foundation models to improve the safety, quality, and efficiency of Amazon deliveries. Our work spans the full spectrum of foundation model development, from multimodal training using images, videos, and sensor data, to sophisticated modeling strategies that can handle diverse real-world scenarios. We build everything end to end, from data preparation to model training and evaluation to inference, along with all the tooling needed to understand and analyze model performance.
Join us if you're excited about pushing the boundaries of what's possible in logistics, working with world-class scientists and engineers, and seeing your innovations deployed at unprecedented scale.
BASIC QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience
- 5+ years of building machine learning models or developing algorithms for business application experience
- Proficient with Data, experience with SQL and Spark
- Expert coders comfortable working in production environments using Python, C++ or other languages
PREFERRED QUALIFICATIONS
- Experience building foundation models for industry or research
- Experience designing multi-modal model architectures
- Experience with large-scale distributed environments for ML training and inference
- History of impactful first-author publications at major conferences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, SANTA CLARA - 192,200.00 - 260,000.00 USD annually
USA, WA, Bellevue - 167,100.00 - 226,100.00 USD annually
See All 166+ Applied Scientist Jobs in Bellevue
Find roles in Bellevue that match your experience and apply in just a few clicks.
Find Applied Scientist JobsApplied Scientist Job Market in Bellevue
Who's Hiring
- Amazon156
- Okta5
- UiPath5
Top Industries Hiring
- Retail42
- Technology & Software42
- E-Commerce & Online Marketplaces42
- Consulting & Professional Services5
Applied Scientist Jobs in Bellevue: Frequently Asked Questions
How do I get a applied scientist job in Bellevue?
The strongest path into Bellevue's applied scientist market runs through cloud infrastructure, machine learning, and recommendation systems roles, where local demand is deepest. Candidates who demonstrate hands-on modeling experience alongside product impact storytelling stand out with Bellevue tech employers. Targeting the Spring District and Bellevue CBD corridors, where large technology and e-commerce tenants cluster, gives you the highest concentration of active openings in one search.
Which companies hire applied scientists in Bellevue?
Employers hiring applied scientists in Bellevue right now include Amazon, Okta, and UiPath, based on current listings on Migrate Mate as of August 2026. Bellevue draws a mix of hyperscale technology companies, mid-size software firms, and retail-tech operations, many of which maintain dedicated applied science teams focused on search, personalization, and forecasting.
Are there remote applied scientist jobs in Bellevue?
Yes, though availability depends on the role type. About 28% of applied scientist openings tied to Bellevue are remote or hybrid as of August 2026, with fully remote roles most common in research-oriented or modeling-heavy positions. On-site or hybrid arrangements are more typical for roles requiring close collaboration with Bellevue product and engineering teams.
How can I get a applied scientist job in Bellevue with little or no experience?
The most realistic entry path is through a research engineer or data scientist role at one of Bellevue's mid-size software or retail-tech companies, which tend to hire junior applied scientists and grow them internally. Strong applied thesis work, published models, or Kaggle competition results carry real weight locally. Targeting applied science internship programs at Bellevue's larger technology employers is also a proven stepping stone into a full-time role.
Which industries hire the most applied scientists in Bellevue?
Bellevue applied scientist roles concentrate in Retail, Technology & Software, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of August 2026. Bellevue's position as a hub for cloud services and e-commerce technology means applied science talent is in constant demand for search relevance, demand forecasting, and recommendation engine work across those sectors.
Related Jobs in Washington
See All 166+ Applied Scientist Jobs in Bellevue
Find roles in Bellevue that match your experience and apply in just a few clicks.
Find Applied Scientist Jobs