Amazon

DESCRIPTION

Amazon Advertising is one of Amazon's most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products and Brands (SPB) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

The senior applied scientist in this position will focus on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. Our team utilizes leading-edge science and engineering technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational interfaces. We also empower advertisers to reach shoppers, using their own voice to explain how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields.

Key job responsibilities

• Serve as a tech lead for defining the science roadmap for multiple projects in the conversational ad experiences space powered by LLMs.
• Build POCs, optimize and deploy models into production, run experiments, perform deep dives on experiment data to gather actionable learnings and communicate them to senior leadership.
• Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.
• Work closely with product managers to contribute to our mission, and proactively identify opportunities where generative AI can help improve customer experience.
• Research new machine learning approaches to drive continued scientific innovation
• Be a member of the Amazon-wide machine learning community, participating in internal and external meetups, hackathons and conferences.
• Help attract and recruit technical talent, mentor scientists and engineers in the team.

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

PREFERRED QUALIFICATIONS

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Experience with building foundational AI models.
• Experience with building Generative AI applications, including conversational systems.
• Experience with advertising systems and applications.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 $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. 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.