Job ID: 2788072 | Amazon.com Services LLC
As part of the Amazon Core Shopping organization, we own and develop most of the core shopping experiences on Amazon.com, the Amazon app, and Alexa. Our goal is to create innovative product discovery experiences and deliver exceptional pre- and post-purchase experiences for our customers.
We are looking for a passionate, talented, and inventive Applied Scientist with a background in AI, Gen AI, Machine Learning, and NLP to help build LLM solutions for Amazon Core Shopping. You'll be working with talented scientists and engineers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team and are ready to make a lasting impact on the future of AI-powered shopping, we invite you to join us on this exciting journey to reshape shopping.
Key Job Responsibilities
As an Applied Scientist, you will work on state-of-the-art technologies that will result in published papers. However, you will not only theorize about the algorithms but also have the opportunity to implement them and see how they perform in the field. Our team works on a variety of projects, including state-of-the-art generative AI, LLM fine-tuning, alignment, prompt engineering, and benchmarking solutions.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
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.
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