Job ID: 2737641 | Amazon.com Services LLC
The Rufus team is building foundational LLMs for Amazon Stores that fuse general world knowledge with Amazon e-commerce domain knowledge, to provide new and improved shopping experiences for our customers. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You’ll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!
BASIC QUALIFICATIONS
- 2+ years of building machine learning 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
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in any of the following fields: Natural Language Processing (NLP), vision-language modeling, recommendation systems, web data processing, Large Language Models (LLM), or parallel and distributed computing
PREFERRED QUALIFICATIONS
- Experience with LLM model training, large scale training data curation, training/inference optimization.
- Experience with modeling and large-scale data processing tools such as Pytorch, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
- Experience with large scale distributed systems such as Hadoop, Spark (or PySpark), 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 Amazon Disability Accommodation .
This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: June 26, 2024 (Updated about 2 hours ago)
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