Applied Scientist, SP Support Science

Amazon; Seattle (WA); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's Selling Partner Support Science team seeks an Applied Scientist to define and build the next generation of NLP and ML systems. You will own problems end-to-end, from scientific formulation to shipping production-grade pipelines used by 50+ business teams and millions of Selling Partners.

The role requires a PhD or Master’s with 4+ years in CS/ML, strong Java/C++/Python skills, and experience building ML models for business applications. Seattle, WA-based with competitive benefits.

Qualifications

• PhD or Master in CS/CE/ML with 4+ years of related experience.
• 3+ years of building machine learning models or developing algorithms for business applications.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Use state-of-the-art ML and Generative AI techniques to create tools for Selling Partners.
• Design, develop and deploy models to interact with Sellers and provide solutions.
• Collaborate with scientists and engineers to deliver real-time model implementations and impactful features.

Skills

ML modeling

Algorithms

Distributed computing

High-performance computing

Education

PhD or Master in CS/CE/ML

Tools

Java

C++

Python

Job description

Description

Amazon's Selling Partner Support Science team builds the measurement and AI systems that power how Amazon understands, diagnoses, and eliminates the root causes of support contacts. Our vision is a continuous, science-driven pipeline where LLM-powered classification, causal impact measurement, and multi-modal friction detection work together to identify why Selling Partners experience frictions and quantify which interventions resolve them. Our systems process tens of millions of cases, evaluate hundreds of initiatives annually, and directly inform investment decisions across the Selling Partner Services organization.

About the Team

We are seeking a world-class Applied Scientist to help define and build the next generation of our LLM and ML systems. You will partner with applied scientists and engineers to design and deploy production-grade NLP pipelines, multi-modal AI frameworks, and scalable classification systems at Amazon's scale, owning your problem space end-to-end, from formulating a scientific approach to shipping a system that 50+ business teams rely on to make better decisions for millions of Selling Partners.

Key Job Responsibilities

• Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.
• Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.
• Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.
• Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.
• Research and implement novel machine learning and statistical approaches.
• Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• 3+ years of building machine learning models or developing algorithms for business application 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 in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience in investigating, designing, prototyping, and delivering new and innovative system solutions.
• Experience developing, deploying and managing AI products at scale.
• Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting.

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 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.