Key job responsibilities
You’ll be utilizing your Generative AI, time series and predictive modeling skills, and creative problem-solving skills to drive new projects from ideation to implementation. You will lead efforts in foundational models to develop new approaches to Personalization, and provide opportunities for scientists and engineers to invent and implement scalable ML recommendations supporting new Customer Experiences. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them. You’ll publish papers and file patents. And you’ll work closely with engineers to put your ideas into production. You will participate in the Amazon ML community by authoring scientific papers and submitting them to ML conferences.
About the team
The Discover Innovation team is dedicated to assisting customers in fulfilling their shopping objectives and empowering other Amazon teams by leveraging our deep understanding of customer intent. Our team’s mission is to delight customers by helping them discover the right content at the right time, tailoring the shopping experience to the customer’s intent and unique shopping objectives. We are a team of dedicated Scientists, Engineers, and Designers working together to deliver new, personalized shopping experiences. In tailoring the shopping experience to each customer’s intent, we envision operating seamlessly across Amazon as a talented personal shopping assistant — a partner that is trusted, knowledgeable, and understands your unique preferences.
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 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.