Applied Scientist II, Conversational Ad Experiences

Amazon Inc.; Seattle (WA); Hybrid; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon is seeking an Applied Scientist II for Conversational Ad Experiences in Seattle. The role involves defining scientific roadmaps, building POCs, and deploying models in production. Candidates must have a PhD or Master's degree and extensive programming experience. This position offers an inclusive culture, competitive compensation, and comprehensive benefits.

The base salary range is $142,800 - $193,200 annually. Join a team that pushes the boundaries of advertising technology using generative AI.

Qualifications

• 3+ years of experience building models for business applications.
• Experience programming in Java, C++, Python or similar languages.
• Strong understanding of algorithms, numerical optimization, and data mining.

Responsibilities

• Lead the science roadmap for conversational ad experiences.
• Build POCs and optimize models for production.
• Collaborate with software engineers on solution implementation.

Skills

Building models for business applications

Programming in Java, C++, Python

Algorithms and data structures

Numerical optimization

Data mining

Education

PhD or Master's degree in Computer Science, Computer Engineering, Machine Learning, or related field

Tools

Unix/Linux

Job description

Applied Scientist II, Conversational Ad Experiences

Job ID: 10444441 | Amazon.com Services LLC

Overview

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 reinventing 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.

Key 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 on 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 a 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.

Equal Opportunity Statement

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.

Benefits and Compensation

The base salary range for this position is 142,800.00 - 193,200.00 USD annually. 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&D 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 at https://amazon.jobs/en/benefits.