Job Description

Requirements

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Why this job is awesome?

1. SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site.
2. MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site.
3. Cross-functional team: We are a cross-functional team that owns the ENTIRE delivery experience for customers.
4. Build ML models: You will help the Delivery Experience organization to build ML models including recommendation and personalization, LLM models and analyze the long-term effect on business.
5. Support Amazon leadership: Your work will support the Amazon leadership to make visionary business decisions on Regionalization and Fast Delivery.
6. Innovative team: Do you want to join an innovative team of scientists and engineers who use machine learning and statistical inference techniques to deliver the best delivery experience on every Amazon-owned site?
7. Analyze and model terabytes of data: Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-art algorithms to solve real world problems?
8. Own end-to-end business problems: Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company?
9. Innovate and simplify: Do you like to innovate and simplify? If yes, then you may be a great fit to join the Delivery Experience Machine Learning team.

Major Responsibilities

• Research and implement LLM techniques to create scalable and effective models in Delivery Experience (DEX) systems
• Solve business problems and identify business opportunities to provide the best delivery experience on all Amazon-owned sites
• Design and develop machine learning models (ranking, recommendation and personalization) to improve discovery of fast deliverable and regional offers to customers
• Design and develop ML models to understand customers' shopping intent on delivery and empower personalized customer experience
• Analyze and understand large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities
• Establish scalable, efficient, automated processes for large scale data analysis and causal inference

Basic Qualifications

• PhD and 5+ 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

• Experience in Search ranking/recommendation/personalization
• Experience in LLM/Gen AI
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Work Location

• Bellevue, WA, USA

Company Statement

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.