Applied Scientist, TSI Science

Amazon.com Services LLC; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon.com Services LLC in Seattle is seeking an experienced ML Engineer to innovate with GenAI/LLM/VLM technologies and build highly automated solutions for fraud detection, risk evaluation and automated operations in our production environment.

You will design, develop and deploy end-to-end ML systems, learn and experiment with the latest advances, and work with business partners and engineering teams to deliver scalable data-driven solutions.

Qualifications

• PhD or MS with 4+ years in CS/CE/ML or related field.
• Proficiency in Java, C++, Python.
• Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel/distributed/high-performance computing.

Responsibilities

• Innovate with GenAI/LLM/VLM technology to build automated fraud detection, risk evaluation and automated operations.
• Design, develop and deploy end-to-end ML solutions in the Amazon production environment to create impactful business value.
• Learn, explore and experiment with the latest ML advancements to improve customer experience.
• Provide clear, compelling reports for your solutions and contribute to ongoing knowledge sharing.

Skills

Java

C++

Python

Algorithms

Data structures

Parsing

Numerical optimization

Data mining

Parallel computing

Distributed computing

High-performance computing

Education

PhD or MS + 4+ years in CS/CE/ML or related field

Tools

Java

C++

Python

Job description

Key job responsibilities

• Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient fraud detection, risk evaluation and automated operations
• Design, develop and deploy end-to-end advance machine learning solutions with vision anf GenAi technologies in the Amazon production environment to create impactful business value
• Learn, explore and experiment with the latest machine learning advancements to create the best customer experience

A day in the life

You will be working within a dynamic, diverse, and supportive group of scientists who share your passion for innovation and excellence.

You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation.

You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.

Basic Qualifications:

• 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:

• Track record of leading large-scale AI transformation projects, and strong publication record in top-tier conferences/journals such as CVPR, NeuIPS, ICML, ACL, EMNLP

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