Applied Scientist, Customer360

Amazon Science; Irvine (CA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Science invites applications for an Applied Scientist to define how AI remembers people, preferences, and pivotal moments to personalize customer experiences. You will advance NLP, information retrieval, and large language models, building systems that reason from first principles on memory and knowledge retrieval for customers and their household members.

You will collaborate with a global team of researchers and engineers, design experiments, publish results, and ship features that

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.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Research, design, and development of new AI technologies for personalization.
• Adopt or invent machine learning and analytical techniques in recommendations, information retrieval, and LLMs.
• Collaborate with scientists, engineers, and product partners locally and abroad.
• Invent, experiment with, and launch new features, products and systems.

Skills

NLP

Information retrieval

Large language models

Distributed computing

Education

PhD in CS/CE/ML or related

Master's + 4+ years CS/CE/ML experience

Tools

Java

C++

Python

Unix/Linux

Job description

Description Are you a scientist who wants to define how AI remembers people, their loved ones, their unique preferences, and the moments that matter? Are you passionate about NLP, large language models, information retrieval, and entity understanding? Do you want to build systems that learn who the people in a customer's life are, what each of them cares about, and retrieve the right knowledge at the right moment? Do you want access to massive datasets, world-class compute, and the freedom to reason from first principles on novel problems? If any of this excites you, we'd love to talk.

Our team is part of Amazon's Personalization organization, building the memory layer that powers how Amazon understands and personalizes for individual customers and their household members. We work at the intersection of NLP, LLMs, entity resolution, and retrieval — disaggregating preferences for each and every customer and their loved ones, and surfacing the most relevant knowledge to power experiences across Amazon that personalize more deeply than ever before. We are a central personalization team, partnering directly with organizations across Amazon to shape how personalization works at scale for years to come.

Key job responsibilities

As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems.

Please visit https://www.amazon.science for more information.

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
• 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

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