Job ID : 2770222 Amazon.com Services LLC
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
We’re working to improve shopping on Amazon using the conversational capabilities of LLMs, and 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 and engineers across the breadth of Amazon Shopping and AGI 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
- 5+ years of building machine learning models for business application experience
- PhD, or Master's degree and 7+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- 5+ years of applied research experience
PREFERRED QUALIFICATIONS
- PhD and 7+ years of industry or academic research experience
- Exceptional ability to translate advances in the recent literature into concrete testable artifacts
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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.
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.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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