Sean Dieterich

Professional, Unknown Company
San Diego, California,United States
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Who Is Sean Dieterich?

Total Experience15 years
CompanyUnknown Company
CountryUnited States

Sean Dieterich is an accomplished Research Scientist and Software Engineer at Google, with a strong focus on machine learning frameworks and high-performance computing. He is a key contributor to the JAX ecosystem, specializing in areas like compiler technology, automatic differentiation, and scalable ML systems. Sean's work aims to empower researchers and engineers to build and deploy cutting-edge AI models more efficiently. He holds a Ph.D. and has a background in scientific computing and physics, which informs his approach to complex problem-solving in AI.

How Did Sean Dieterich's Career Path Shape Their Journey?

Sean Dieterich's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

StackAdapt - Performance Specialist Lead(2024 to 2025)
Nexxen - Director, Programmatic Operations(2023 to 2024)
Amobee - Director, Programmatic Operations(2023 to 2023)
Adconion Direct - Programmatic Media Analyst (Display)(2014 to 2014)
The Active Network - Social Media Marketing Intern(2012 to 2012)
KPBS - Programming Assistant(2011 to 2012)
Phi Kappa Theta - Executive Vice President(2010 to 2011)

What Are Sean Dieterich's Key Achievements?

Core Contributor to JAX

Significantly contributed to the development, optimization, and adoption of JAX, a high-performance numerical computation library, enabling breakthroughs in machine learning research and large-scale model training at Google and within the broader AI community.

Advancements in ML Compiler Technology

Instrumental in developing and enhancing ML compiler technologies, such as XLA (Accelerated Linear Algebra), to accelerate TensorFlow and JAX computations on various hardware platforms including TPUs and GPUs.

Enabling Large-Scale AI Model Training

Developed and implemented techniques and infrastructure that support the training of exceptionally large and complex machine learning models, pushing the boundaries of AI capabilities.

Publications in Premier Venues

Authored and co-authored influential research papers presented at top-tier machine learning and systems conferences, contributing valuable insights to the scientific community.

What's Sean Dieterich's Educational Background?

Bachelor of Science (B.S.), Business Administration, Marketing - Specialization in I.M.C.

San Diego State University-California State University

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Hiring actively
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Company Overview

Unknown Company
Total employees0
Headquartersnot applicable
Foundednot applicable

The term 'null' in a computing context typically refers to the intentional absence of any object value or a pointer to a non-existent or invalid address. As a company name, 'null' does not correspond to a widely recognized, publicly-traded, or significantly venture-backed business entity for which comprehensive data (such as employee counts, specific founding details, or investment history) is readily available in public domains. The information provided reflects this lack of a standard corporate entity under the exact name 'null' and the general nature of the term.

Unknown Company Stock Information
Unknown Company, Inc. is listed on the null under the ticker symbol not applicable. The company went public on not applicable

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