Applied Scientist, Shopping Convo Foundations - Pre-purchases Science, Shopping Convo Foundations - Pre-purchases Science

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

Benefits offered by this job

RSUs

Sign-on bonus

Job summary

Amazon Science in Seattle is seeking an Applied Scientist with AI/ML expertise to advance catalog expansion. You will research and develop novel ML approaches to improve catalogue coverage and product attributes, design state-of-the-art models, and translate breakthroughs into production-ready solutions.

Work closely with ML Engineers and Software Development Engineers to optimize performance, ensure scalability, and deploy low-latency models at scale.

Qualifications

• 3+ years building models for business applications.
• PhD or Master's with 4+ years in CS/CE/ML.
• Publications or patents in top-tier venues.
• Experience programming in Java, C++, Python.
• Knowledge of algorithms, data structures, parsing, optimization, data mining, parallel and distributed computing.

Responsibilities

• Research and develop novel ML approaches for catalogue expansion and product attributes.
• Design and evaluate state-of-the-art ML models and conduct rigorous experiments.
• Translate scientific breakthroughs into production-ready solutions.
• Collaborate with ML Engineers and Software Development Engineers to optimize performance and scalability.

Skills

Model building

Java

C++

Python

Algorithms

Data mining

Distributed computing

Publications

Education

PhD or Masters in CS/CE/ML

Tools

Unix/Linux

Job description

Description

The Shopping Convo Foundations Team - Pre-purchases Science is looking for an Applied Scientist with expertise in Artificial Intelligence and Machine Learning to drive scientific innovation that expands Amazon’s product catalogue. Our goal is to leverage AI/ML solutions to enhance catalogue coverage with high precision. In this role, you will research and develop novel machine learning approaches to solve complex catalogue expansion and product attribute challenges. You will design and develop state-of-the-art ML models, conduct rigorous experimentation, and translate scientific breakthroughs into production-ready solutions. You will work closely with ML Engineers and Software Development Engineers to optimize model performance, ensure scalability, and deploy low-latency solutions at Amazon scale.

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 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

• 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.

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.

USA, CA, Santa Clara - 171,600.00 - 222,200.00 USD annually

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