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Senior Applied Scientist, IRIS



New York, NY, USA · United States
Posted on Friday, July 5, 2024


The Item and Relationship Identity Systems (IRIS) team in WW Amazon Stores is looking for a passionate and talented Senior Applied Scientist with a strong background in deep learning and multimodal AI, to lead the development of industry-leading multimodal machine learning models to help us make the world’s best product catalog even better. In this role, you will partner with technology and business leaders to build new state-of-the-art algorithms, large multimodal models, and services to infer product-to-product relationships that matter to our customers. You will work in a collaborative environment where you can experiment with massive data from the world’s largest product catalog, work on challenging problems, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers.

An information-rich and accurate product catalog is a strategic asset for Amazon. We use cutting edge machine learning techniques to proactively identify relationships between products within the Amazon product catalog. This problem is challenging due to sheer scale (billions of products in the catalog), diversity (products ranging from electronics to groceries to instant video across multiple languages), multitude of input sources (millions of sellers contributing product data with different quality) and varied relationship types.

Key job responsibilities
As a Senior Applied Scientist with the IRIS team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly help our customers and will power unrivaled product discovery, inform customer buying decisions, offer a large selection, and position Amazon as the first stop for shopping online. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence. You will be working with other Senior Scientists in the larger organization to leverage key research directions, adopting machine learning techniques to conduct rigorous experiments, publishing results, and ensuring that research is translated into practice. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions.

A day in the life
We love solving challenging and hard problems in our quest to innovate on behalf of our customers. We push the boundaries to leverage and invent technologies which help create unrivaled experiences for our customers to help us move fast in a growing and changing environment. We use data to guide our decisions, work closely with our engineering and product counterparts, and partner with other Science teams to learn and guide in an environment of innovation.

About the team
The IRIS team has a mission to push the envelope with multimodal LLMs and Gen AI to provide the best-possible eCommerce experience for our customers. We push the boundaries of advanced ML and generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our e-commerce business.


- 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


- 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 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. For individuals with disabilities who would like to request an accommodation, please visit

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/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. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.