Applied Scientist, Core Shopping
Job ID: 2762580 | Amazon.com Services LLC
DESCRIPTION
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
- PhD, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java, C++, Python or related language
- 3+ years of building machine learning models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
PREFERRED QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience applying theoretical models in an applied environment
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 https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Job details
- USA, WA, Seattle
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