Amazon
Senior Applied Scientist, Amazon
Amazon, Palo Alto, California, United States, 94306
Job ID: 2739961 | Amazon.com Services LLC
We’re building a foundational LLM for Amazon Stores that fuses 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
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 2+ years of experience in leading a team to solve challenging machine learning problems with quantitative approaches Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience with LLM model training, large scale training data curation, training/inference optimization. PREFERRED QUALIFICATIONS
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability 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.
#J-18808-Ljbffr
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 2+ years of experience in leading a team to solve challenging machine learning problems with quantitative approaches Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience with LLM model training, large scale training data curation, training/inference optimization. PREFERRED QUALIFICATIONS
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability 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.
#J-18808-Ljbffr