Applied Scientist, Worldwide Returns & Recommerce - Science

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Worldwide Returns & ReCommerce is hiring in Bellevue, WA for a role designing and deploying state‑of‑the‑art ML models that power NLU/LLM systems. You will work with data and software teams to build scalable solutions and mentor interns.

The position emphasizes building models for business applications, using Python, PyTorch, SQL, and Jupyter, with a focus on delivering high‑quality, production‑ready ML solutions at scale. A PhD or MS with relevant experience is preferred.

Qualifications

• 3+ years building models for business applications.
• PhD or Master’s plus 4+ years in CS/CE/ML or related field.
• Experience programming in Java, C++, Python or related language.
• Experience building ML models or developing algorithms for business applications.

Responsibilities

• Design, develop, and evaluate innovative NLU/LLM models.
• Use SQL to query and analyze data.
• Use Python, Jupyter, and PyTorch to train/test/deploy NLU/LLM/GenAI models.
• Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.

Skills

ML/AI experience

Java

C++

Python

SQL

Education

PhD, or MS + 4+ years CS/CE/ML

Tools

Unix/Linux

Git

Job description

Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com.

WWR&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing groundbreaking products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future – we create long‑term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re‑use channel we can by driving multiple aspects of the Circular Economy for Amazon – Returns & ReCommerce.

Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re‑use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus.

You will help create everything from customer‑facing and vendor‑facing websites to the internal software and tools behind the reverse‑logistics process. You can develop scalable, high‑availability solutions to solve complex and broad business problems.

We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work‑life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth.

Amazon is earth’s most customer‑centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!

Key job responsibilities

• Design, develop, and evaluate highly innovative models for our Natural Language Understanding (NLU) and Large Language Model (LLM) models
• Use SQL to query and analyze the data.
• Use Python, Jupyter notebook, and Pytorch to train/test/deploy NLU/LLM/GenAI models.
• Use machine learning and analytical techniques to create scalable solutions for business problems.
• Research and implement novel machine learning and statistical approaches.
• Mentor interns.
• Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.

Benefits

• Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full‑time employees include:
• 1. Medical, Dental, and Vision Coverage
• 2. Maternity and Parental Leave Options
• 3. Paid Time Off (PTO)
• 4. 401(k) Plan

Learn more about our benefits here: https://amazon.jobs/en/internal/benefits/us-benefits-and-stock

About the team

When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re‑use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical, image, to speech data.

We operate at large scale and rely on state‑of‑the‑art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models. Basic Qualifications:- 3+ years of building models for business application experience

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.

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 programming in Java, C++, Python or related language
• Experience building machine learning models or developing algorithms for business application

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development
• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals

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