Applied Scientist Jobs in Sunnyvale, CA
Applied Scientist jobs in Sunnyvale are concentrated in semiconductor, consumer tech, and AI research, with the heaviest hiring clustering around the Lawrence Expressway corridor, Downtown Sunnyvale, and the Moffett Park district. Companies posting roles right now include Amazon, Apple, and Google. See the openings below and apply to the ones that match your experience.
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DESCRIPTION
We are seeking a Senior Applied Scientist to join our team in developing pioneering AI research, Generative AI, Agentic AI, Large Language Models (LLMs), Diffusion and Flow Models, and other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog Systems, within the AI Lab Team. This role offers a unique opportunity to work on AI research and AI products that will shape the future of online shopping experiences.
Our team operates at the forefront of AI research and development, working on challenges that directly impact millions of customers worldwide. We push the boundaries of AI at both the foundational and application layers. As a Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning techniques, apply your research to solve real-world problems at an unprecedented scale, and collaborate with experienced scientists to contribute to Amazon's scientific innovation.
Join us in redefining the future of shopping. Your work will directly influence how customers interact with the world's largest online store.
Key job responsibilities
- Design and implement novel AI solutions for Amazon catalog of products
- Develop and train state-of-the-art LLMs, Diffusion Models, and other Generative AI models
- Build and deploy autonomous AI Agents in Amazon production ecosystem
- Scale AI models to handle billions of diverse products across multiple languages and geographies
- Conduct research in areas such as Autonomous AI Agents, Generative AI, Language Modeling, Multi-modality Computer Vision, Diffusion Models, Reinforcement Learning
- Collaborate with cross-functional teams to integrate AI models into Amazon's production ecosystem
- Contribute to the scientific community through publications and conference presentations
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
LOCATION
USA, WA, Seattle
COMPENSATION
- Base salary range: $167,100.00 - $226,100.00 USD annually
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.
DESCRIPTION
We are seeking a Senior Applied Scientist to join our team in developing pioneering AI research, Generative AI, Agentic AI, Large Language Models (LLMs), Diffusion and Flow Models, and other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog Systems, within the AI Lab Team. This role offers a unique opportunity to work on AI research and AI products that will shape the future of online shopping experiences.
Our team operates at the forefront of AI research and development, working on challenges that directly impact millions of customers worldwide. We push the boundaries of AI at both the foundational and application layers. As a Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning techniques, apply your research to solve real-world problems at an unprecedented scale, and collaborate with experienced scientists to contribute to Amazon's scientific innovation.
Join us in redefining the future of shopping. Your work will directly influence how customers interact with the world's largest online store.
Key job responsibilities
- Design and implement novel AI solutions for Amazon catalog of products
- Develop and train state-of-the-art LLMs, Diffusion Models, and other Generative AI models
- Build and deploy autonomous AI Agents in Amazon production ecosystem
- Scale AI models to handle billions of diverse products across multiple languages and geographies
- Conduct research in areas such as Autonomous AI Agents, Generative AI, Language Modeling, Multi-modality Computer Vision, Diffusion Models, Reinforcement Learning
- Collaborate with cross-functional teams to integrate AI models into Amazon's production ecosystem
- Contribute to the scientific community through publications and conference presentations
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
LOCATION
USA, WA, Seattle
COMPENSATION
- Base salary range: $167,100.00 - $226,100.00 USD annually
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.
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Find Applied Scientist JobsApplied Scientist Job Market in Sunnyvale
Who's Hiring
- Amazon125
- Apple7
- Google7
- Target7
- Amazon Web Services7
Top Industries Hiring
- Retail21
- Technology & Software21
- E-Commerce & Online Marketplaces21
- Electronics & Hardware7
Applied Scientist Jobs in Sunnyvale: Frequently Asked Questions
How do I get an applied scientist job in Sunnyvale?
Your strongest path into Sunnyvale's market is through semiconductor and consumer electronics companies concentrated around Moffett Park and the Lawrence Expressway corridor, where applied scientist roles in machine learning, computer vision, and signal processing are most active. A portfolio of shipped research, strong publication history, or open-source work in a relevant domain carries more weight here than credentials alone. Targeting mid-size chip design firms alongside the large tech campuses broadens your options considerably.
Which companies hire applied scientists in Sunnyvale?
Sunnyvale applied scientist roles are posted by Amazon, Apple, and Google and others right now, based on current listings on Migrate Mate as of August 2026. Sunnyvale's employer mix skews heavily toward semiconductor manufacturers, consumer hardware companies, and AI-focused product divisions running their own research teams.
Are there remote applied scientist jobs in Sunnyvale?
Yes, though applied scientist work in Sunnyvale is less remote-friendly than purely analytical roles because many positions involve hardware integration, lab access, or cross-functional product collaboration that requires on-site presence. About 0% of applied scientist openings tied to Sunnyvale are remote or hybrid as of August 2026, with flexibility concentrated in software-side modeling and data science work rather than hardware or embedded research roles.
How can I get an applied scientist job in Sunnyvale with little or no experience?
The most realistic entry point in Sunnyvale is a research internship or associate scientist role at one of the area's semiconductor or consumer tech companies, many of which run structured internship pipelines that convert to full-time offers. Contributing to an applied research project during a graduate program, even if unpublished, gives you the kind of concrete output Sunnyvale hiring managers look for. Smaller chip startups near Moffett Park often hire junior candidates willing to work across the stack.
Which industries hire the most applied scientists in Sunnyvale?
Sunnyvale applied scientist roles concentrate in Retail, Technology & Software, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of August 2026. Sunnyvale's dense cluster of semiconductor fabs, consumer hardware divisions, and AI product teams makes it one of the few markets where applied science talent is in demand across both research and production-stage engineering.
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