Applied Scientist, Alexa Connected Devices

Amazon Science; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance (medical, dental, &off

RSUs

Sign-on payments

401(k) matching

Parental leave

Job summary

Amazon Science in Seattle is seeking an Applied Scientist to advance LLM, NLP, and AI for Alexa Connected Devices. You will develop scalable context-aware conversational models, using Prompt Engineering, Reinforcement and learning techniques to improve user interactions.

Ideal candidates have a PhD or MS with 4+ years in CS/ML, strong coding in Java/C++/Python, and experience with large-scale data and distributed computing. Join a team delivering impact for millions of customers.

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.

Responsibilities

• Collaborate with scientists and engineers to research and develop novel algorithms and modeling techniques.
• Analyze and improve user experiences by leveraging large-scale data and computing resources.
• Work on core LLM technologies: Prompt Engineering, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation.

Skills

Java

C++

Python

Education

PhD or Master''s in CS/CE/ML

Tools

Unix/Linux

Job description

Description

Do you want to shape the future of how Alexa+ enabled devices connect with Alexa Cloud? Do you want to be part of a team that builds solutions used by millions of customers? If you said yes to any or all of those, come join the Alexa Connected Devices!

We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands‑on experiences in building Generative AI solutions with LLMs and Recommender Systems, enjoy operating in dynamic environments, be self‑motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions.

Key job responsibilities

As an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations. You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large‑scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine‑Tuning, Learning from Human Feedback, Evaluation, Self‑Learning, etc. Your work will directly impact our customers in the form of novel products and services.

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