Role at a glance
- Job function
-
AI & Data AI Research & Applied Science
- Salary
- $167.1K – $248.7K/yr
- Location
- New York, New York, United States Seattle, Washington, United States
- Work arrangement
- On-site
- Experience
- Senior Level PhD, or Master's degree and 6+ years of applied research experience
- Education
- PhD, or Master's degree and 6+ years of applied research experience
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Role Summary
Senior individual contributor Applied Scientist role on the FAIM (Full Funnel Agentic Intelligence and Models) team within vertical ad products. The role applies advanced machine learning techniques to improve advertiser performance and customer experience through the Ads Foundational Model.
What You'll Do
- Drive the science vision for developing evaluations of the Ads Agent
- Partner with senior and principal scientists from across Ads to develop best practices for evaluating agent performance both online and...
- Raise the science bar for all agent evaluations developed in Ads
- Deliver a data driven foundation for making decisions about when new features are ready to launch in Ads Agent
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A PhD, or a Master's degree with 6+ years of applied research experience, plus programming skills in Java, C++, or Python.
Required
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
Preferred
- 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.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.
We are seeking an experienced Applied Scientist to drive innovation in our Ads Foundational Model. In this individual contributor role, you will apply advanced machine learning techniques to improve advertiser performance and customer experience.
Key job responsibilities
- Drive the science vision for developing evaluations of the Ads Agent
- Partner with senior and principal scientists from across Ads to develop best practices for evaluating agent performance both online and offline
- Raise the science bar for all agent evaluations developed in Ads.
- Deliver a data driven foundation for making decisions about when new features are ready to launch in Ads Agent.
Basic Qualifications
- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language
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.
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&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 about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 183,800.00 - 248,700.00 USD annually
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.