Sr. Applied Scientist, Prime AI/ML Science

Socket.dev; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

Amazon is seeking a highly skilled AI/ML Scientist to model customer behavior and optimize Prime personalization. You will partner with product teams to intake, build, and apply modeling solutions at TB scale, tackling GenAI, foundation models, and reinforcement learning of the customer journey.

Join a central science team influencing diverse topics and contributing to publications and patents while advancing state-of-the-art models and scalable AI infrastructure.

Qualifications

• 3+ years of building machine learning models for business applications.
• PhD, or Master's with 6+ years of applied research experience.
• Proficiency in Java, C++, Python; deep learning experience.

Responsibilities

• Stay abreast of current literature and develop novel science solutions.
• Build AI/ML models and infrastructure at TB scale with eng teams.
• Leverage GenAI for foundation models and personalized optimization.
• Develop offline policy estimation tools and integrate with econometric models.
• Create scalable, automated data analyses and model implementations.
• Analyze historical data to automate and optimize key processes.

Skills

ML modeling

Java

C++

Python

Neural networks

Education

PhD

Master's + 6+ yrs research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Interested in modeling and understanding customer behavior through machine learning, artificial intelligence, and data mining over TB scale data with huge business impact on millions of customers? Join our team of Scientists developing models to model customer behavior and optimize the customer experience with Amazon Prime. This includes understanding who our customers are, long‑term value of the Prime membership program, and creating the right personalized framework for content and subscription optimization. As an AI/ML expert, you will partner directly with product owners to intake, build, and directly apply your modeling solutions.

There are numerous scientific and technical challenges you will get to tackle in this role, such as optimizing/fine‑tuning GenAI/LLM solutions for Prime personalization, building GenAI foundation models, global scalability of models, combinatorial optimization, cold start problem, accelerated experimentation, short/long term goals modeling, and multi‑step optimization leading to reinforcement learning of the customer journey. We employ techniques from GenAI/LLMs, supervised/semi‑supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning.

As the central science team within Prime, our expertise gets routinely called upon to weigh in on a variety of topics. We also emphasize the need and value of scientific research and have developed a strong publication and patent record (internally/externally) which you will be a part of.

• Stay abreast of current literature in the field and advance/build novel science solutions leveraging SoTA solutions.
• Build and develop AI/ML models and supporting infrastructure at TB scale, in coordination with software engineering teams.
• Leverage Deep Learning and GenAI solutions for building foundation models and personalized optimization solution.
• Develop offline policy estimation tools and integrate with measurement systems/econometric models.
• Establish scalable, efficient, automated processes for large scale data analyses, science development, science validation and model implementation.
• Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes.
• Work closely with the business to understand their problem space, identify the opportunities and formulate the problems.
• Use AI/machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems.
• Design, develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems.

Key job responsibilities

• Stay abreast of current literature in the field and advance/build novel science solutions leveraging SoTA solutions.
• Build and develop AI/ML models and supporting infrastructure at TB scale, in coordination with software engineering teams.
• Leverage Deep Learning and GenAI solutions for building foundation models and personalized optimization solution.
• Develop offline policy estimation tools and integrate with measurement systems/econometric models.
• Establish scalable, efficient, automated processes for large scale data analyses, science development, science validation and model implementation.
• Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes.
• Work closely with the business to understand their problem space, identify the opportunities and formulate the problems.
• Use AI/machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems.
• Design, develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems.

Basic Qualifications

• 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

Preferred Qualifications

• 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.

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.