Applied Scientist, Alexa-PAPI

Socket.dev; Sunnyvale (CA); On-site; USD 172,000 - 222,000; Full time

Benefits offered by this job

Sign-on payments

RSUs

Health insurance (medical, dental, etc

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking an Applied Scientist to join the Alexa AI PAPI Science team. You will architect and scale memory intelligence and personalization capabilities powering Alexa Plus, enabling it to learn, memorize, reason, and deliver highly personalized responses.

Responsibilities include designing state-of-the-art solutions for agentic AI, memory retrieval, and context management at scale, while building systems that learn from diverse signals to serve millions of customers across Amazon

Qualifications

• PhD or Master’s degree with 4+ years in CS/CE/ML or related field.
• Experience building models for business applications.

Responsibilities

• Invent and implement state-of-the-art solutions in agentic AI, memory retrieval, and context management at scale.
• Build scalable systems from diverse signals to deliver timely, relevant information.
• Design self-optimizing architectures for millions of users across Amazon surfaces.

Skills

NLP

Recommendation systems

Conversational AI

Java

C++

Python

Education

PhD or Master’s with 4+ years in CS/CE/ML

Tools

Langchain

Claude Code

Open Claw

Job description

We are seeking a Applied Scientist to join the Alexa AI PAPI (Personalization, Autonomy, and Proactive Intelligence) Science team. In this role, you will architect and scale next‑generation memory intelligence and personalization capabilities that power Alexa Plus—enabling it to learn, memorize, reason, and deliver deeply personalized, useful, and delightful responses that approach the vision of a true general personal assistant.

Responsibilities

• Advance core technology: Invent, design, and implement state-of-the-art solutions for previously unsolved problems in agentic AI, memory retrieval, and context management at scale.
• Solve real customer problems: Build systems that learn from heterogeneous, multi-modal customer signals—conversations, device visual signals, ambient activities, purchase histories, and more—to deliver the right information, in the right format, at the right time.
• Build for scalability: Design and deploy customer‑feedback‑driven, self-optimizing agentic architectures that serve millions of customers across Amazon surfaces, programs, and marketplaces.
• Drive platform-level impact: Contribute to a platform science team responsible for organizing and reasoning over diverse customer interactions to continuously improve personalization quality.
• Champion scientific rigor and responsible evaluation: Own the end‑to‑end science lifecycle—from hypothesis formulation and offline experimentation to online A/B testing and production accountability. Design evaluation that measure personalization quality and safety at scale, ensuring every launch is backed by statistically sound evidence.

This is not incremental work. You will push the boundaries of what personalized AI assistants can do—bridging research in generative AI, memory systems, and agentic reasoning with production systems that operate at Amazon on scale. Your innovations will directly shape how millions of customers experience Alexa Plus daily.

Basic Qualifications

• 2+ 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
• Demonstrated expertise in one or more of the following areas: Natural Language Processing (NLP); Recommendation, Search, or Advertisement systems; Conversational AI

Preferred Qualifications

• Experience prioritizing and delivering projects on time in a fast-moving environment
• Experience communicating complex information and solutions to senior stakeholders and influencing decisions
• Hands-on experience with RAG architectures, LLM post-training, evaluation and reasoning pipelines, agentic system design, and scalable deployment.
• Published research (peer-reviewed publications) preferred.
• Strong familiarity with state-of-the-art Generative AI tools and frameworks (e.g., Claude Code, Langchain, Open Claw, or equivalent).

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.

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