Applied Scientist II, Conversational Ad Experiences

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a science leader for the SPB team within Amazon Ads, focusing on generative AI and LLM tech to re-define ad experiences for shoppers in conversational contexts. You will guide science roadmaps and work with cross‑functional teams to deliver production-ready models across advertising products.

The role emphasizes collaboration with engineers, product managers and researchers, with responsibilities spanning research, experimentation, and talent development in a

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

Responsibilities

• Define 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 science 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

Skills

Machine learning

Java

C++

Python

Algorithms

Distributed computing

Unix/Linux

Software development

Education

PhD

Masters degree

Tools

Unix/Linux

Job description

Description

The Sponsored Products and Brands (SPB) team at Amazon Ads is re‑imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re‑inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Description

The Sponsored Products and Brands (SPB) team at Amazon Ads is re‑imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re‑inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross‑functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading‑edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi‑turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate 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. We are seeking a science leader for our team within the Sponsored Products & Brands organization. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. 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!

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 science 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 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 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.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&DD insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually

Company

Amazon.com Services LLC

Job ID: A10444441