Amazon
Applied Scientist - AI/ML , Decision Intelligence team
Amazon, San Francisco, California, United States, 94199
Applied Scientist - AI/ML, Decision Intelligence team
Join our team as an Applied Scientist II where you'll develop innovative machine learning solutions that directly impact millions of customers. You'll work on ambiguous problems where neither the problem nor solution is well-defined, inventing novel scientific approaches to address customer needs at the project level. This role combines deep scientific expertise with hands‑on implementation to deliver production‑ready solutions that drive measurable business outcomes.
Key Job Responsibilities Invent:
Design and develop novel machine learning models and algorithms to solve ambiguous customer problems where textbook solutions don't exist
Extend state‑of‑the‑art scientific techniques and invent new approaches driven by customer needs at the project level
Produce internal research reports with the rigor of top‑tier publications, documenting scientific findings and methodologies
Stay current with academic literature and research trends, applying latest techniques when appropriate
Implement:
Write production‑quality code that meets or exceeds SDE I standards, ensuring solutions are testable, maintainable, and scalable
Deploy components directly into production systems supporting large‑scale applications and services
Optimize algorithm and model performance through rigorous testing and iterative improvements
Document design decisions and implementation details to enable reproducibility and knowledge transfer
Contribute to operational excellence by analyzing performance gaps and proposing solutions
Influence:
Collaborate with cross‑functional teams to translate business goals into scientific problems and metrics
Mentor junior scientists and help new teammates understand customer needs and technical solutions
Present findings and recommendations to both technical and non‑technical stakeholders
Contribute to team roadmaps, priorities, and strategic planning discussions
Participate in hiring and interviewing to build world‑class science teams
Basic Qualifications
PhD, or a Master's degree and experience in CS, CE, ML or related field
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing
Preferred Qualifications
Experience using Unix/Linux
Experience in professional software development
Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Posted:
November 18, 2025 (Updated about 1 month ago)
Posted:
June 25, 2025 (Updated 6 months ago)
#J-18808-Ljbffr
Key Job Responsibilities Invent:
Design and develop novel machine learning models and algorithms to solve ambiguous customer problems where textbook solutions don't exist
Extend state‑of‑the‑art scientific techniques and invent new approaches driven by customer needs at the project level
Produce internal research reports with the rigor of top‑tier publications, documenting scientific findings and methodologies
Stay current with academic literature and research trends, applying latest techniques when appropriate
Implement:
Write production‑quality code that meets or exceeds SDE I standards, ensuring solutions are testable, maintainable, and scalable
Deploy components directly into production systems supporting large‑scale applications and services
Optimize algorithm and model performance through rigorous testing and iterative improvements
Document design decisions and implementation details to enable reproducibility and knowledge transfer
Contribute to operational excellence by analyzing performance gaps and proposing solutions
Influence:
Collaborate with cross‑functional teams to translate business goals into scientific problems and metrics
Mentor junior scientists and help new teammates understand customer needs and technical solutions
Present findings and recommendations to both technical and non‑technical stakeholders
Contribute to team roadmaps, priorities, and strategic planning discussions
Participate in hiring and interviewing to build world‑class science teams
Basic Qualifications
PhD, or a Master's degree and experience in CS, CE, ML or related field
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing
Preferred Qualifications
Experience using Unix/Linux
Experience in professional software development
Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Posted:
November 18, 2025 (Updated about 1 month ago)
Posted:
June 25, 2025 (Updated 6 months ago)
#J-18808-Ljbffr