Machine Learning Scientist - GenAI, KIT

Amazon

San Francisco (CA)

On-site

USD 142,800 - 193,200

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

A leading cloud computing provider is seeking an Applied Scientist to drive innovation using Generative AI, enhancing customer experience across AWS services. In this role, you will lead various technology initiatives, collaborate with top-level teams, and address complex challenges in fields like Reinforcement Learning and data optimization. Ideal candidates will hold a PhD or Master’s in a relevant domain and have extensive programming and model-building expertise. A competitive salary and comprehensive benefits are offered.

Qualifications

  • 3+ years of business application model building experience.
  • Experience in patents or publications in top-tier conferences.
  • Experience in high-performance computing.

Responsibilities

  • Lead, invent, and design technology impacting AWS customers.
  • Drive innovation with Gen AI.
  • Collaborate with teams to build scalable solutions.

Skills

Programming in Java
Programming in C++
Programming in Python
Building models for business applications
Algorithms and data structures
Numerical optimization
Data mining
Parallel computing

Education

PhD or Master's degree in CS, CE, ML or related field

Job description

Overview

Job ID: 3203410 | Amazon Web Services, Inc.

At AWS, we use Artificial Intelligence to identify customer needs across AWS services 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 a paradigm shift to how the business operates and build a world-class experience for customers. We work on challenges including building Agentic AI systems, fine-tuning Large language models for domain-specific use cases, Reinforcement Learning, automated cloud optimization, and generating strategic insights from very large datasets. You will have an opportunity to lead, invent, and design technology that will impact customers across all AWS services. We are building industry-leading technology across ML techniques from Natural Language Processing to Deep Learning and Generative AI, taking ideas from concept to experiment to prototype and finally to production.

Responsibilities
  • Lead, invent, and design technology that will directly impact every customer across all AWS services.
  • Drive innovation with Gen AI to bring a paradigm shift to how the business operates and deliver a best-in-class customer experience.
  • Work on science challenges such as Agentic AI systems, fine-tuning LLMs for domain-specific use cases, Reinforcement Learning, automated cloud optimization, and extracting strategic insights from large datasets.
  • Contribute to taking ideas from concept to experiment to prototype and finally to live production systems.
  • Collaborate with principal-level product, science, engineering, and leadership teams to build scalable solutions.
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
Equal Opportunity & Benefits

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 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.

Location

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Machine Learning Scientist - GenAI, KIT
Machine Learning Scientist - GenAI, KIT

Amazon Science • Seattle (WA)

On-site
USD 143,000 - 193,000
RSUs
Sign-on bonus
Health insurance
Machine Learning Scientist - GenAI, KIT
Machine Learning Scientist - GenAI, KIT

Amazon Web Services (AWS) • Bellevue (WA)

On-site
USD 143,000 - 193,000
Health insurance
401(k) matching
Paid time off
+1
Machine Learning Scientist - GenAI, KIT
Machine Learning Scientist - GenAI, KIT

Amazon • Seattle (WA), Northern (KY)

Hybrid
USD 143,000 - 193,000
Health insurance
401(k) matching
Paid time off
+1
Applied Scientist, Applied AI Solutions
Applied Scientist, Applied AI Solutions

Amazon Web Services (AWS) • Seattle (WA)

On-site
USD 143,000 - 193,000
Applied Scientist, Applied AI Solutions (AWS)
Applied Scientist, Applied AI Solutions (AWS)

Amazon • Seattle (WA)

On-site
USD 143,000 - 193,000
Health insurance
401(k) matching
Paid time off
Applied Scientist, Amazon Prime, Prime AI/ML Science
Applied Scientist, Amazon Prime, Prime AI/ML Science

Amazon • Seattle (WA)

On-site
USD 136,000 - 184,000
Health insurance
401(k) matching
Paid time off
+1
Sr. Manager, Applied Science, AWS Agentic AI
Sr. Manager, Applied Science, AWS Agentic AI

Amazon Science • Seattle (WA)

On-site
USD 219,000 - 296,000
Applied Scientist, AWS Agentic AI
Applied Scientist, AWS Agentic AI

Amazon Science • Santa Clara (CA)

On-site
USD 172,000 - 222,000
Health insurance
401(k) matching
Paid time off
+1
Senior Applied Scientist, ASCS AI Lab Team
Senior Applied Scientist, ASCS AI Lab Team

Amazon • Seattle (WA)

On-site
USD 167,000 - 227,000
Health insurance
RSUs
Sign-on payments
+1
Applied Scientist (GenAI/LLM), Sandstone
Applied Scientist (GenAI/LLM), Sandstone

Amazon • Seattle (WA)

On-site
USD 142,800 - 193,200
Health insurance
RSUs
401(k) matching