Machine Learning Scientist - GenAI, KIT

Socket.dev; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs/Stock option program

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking Applied Scientists to advance Gen AI across AWS services, driving innovation and building world-class experiences for customers. You will work on agentic AI, LLM fine-tuning, Reinforcement Learning, and large-scale data insights, moving projects from idea to production at scale.

You will lead and collaborate with principal-level teams, combining startup energy with R&D rigor, to deliver industry-leading AI across a broad tech stack and customer base.

Qualifications

• PhD or Master’s with 4+ years of CS/CE/ML experience.
• 3+ years of building models for business applications.

Responsibilities

• Develop and apply Gen AI/Ml models to customer problems.
• Lead research from idea to production-ready systems.
• Collaborate across teams to deploy scalable AI solutions.

Skills

Java

C++

Python

Algorithms

Data structures

Numerical optimization

Data mining

Distributed computing

High-performance computing

Education

PhD or Master+4 years CS/CE/ML

Top-tier publications or patents

Tools

Java, C++, Python

Job description

At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it and help customers adopt best practices while architecting on the cloud. We are looking for Applied Scientists to drive innovation with Gen AI to bring paradigm shift to how the business operates and build "best in the world" experience that customers will love!

Some of the science challenges we work on includes building Agentic AI systems, fine-tuning Large language models for domain specific use cases, Reinforcement Learning, automated cloud optimization, generating strategic insights and recommendations from very large datasets.

You will have an opportunity to lead, invent, and design tech that will directly impact every customer across all AWS services. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence. You will be a key driver in taking something from an idea to an experiment to a prototype and finally to a live production system.

Our team packs a punch with principal level product, science, engineering, and leadership talent. We are a results focused team and you have the opportunity to lead and establish a culture for the big things to come. We combine the culture of a startup, the innovation and creativity of a R&D Lab, the work-life balance of a mature organization, and technical challenges at the scale of AWS. We offer a playground of opportunities for builders to build, have fun, and make history!

About the team

ABOUT AWS:

Why AWS

Work/Life Balance

Inclusive Team Culture

Mentorship and Career Growth

Basic Qualifications:

• - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• - 3+ years of building models for business application experience
• - Experience in patents or publications at top-tier peer-reviewed conferences or journals
• - 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:

• - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• - 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