
Sr Applied Scientist, FAIM (Full Funnel Agentic Intelligence and Models)
SEATTLE, WAJob$167–226K/yrSeen 5 days agoSeen in employer's feed 5 days ago
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near SEATTLE, WA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
Amazon seeks an experienced Applied Scientist to drive innovation in its Ads Foundational Model, applying advanced machine learning to improve advertiser performance and customer experience. The role leads the science vision for evaluating the Ads Agent, partners with senior and principal scientists to establish online and offline evaluation practices, raises the science bar for agent evaluations, and delivers a data-driven basis for deciding when features are ready to launch.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
Are you passionate about solving big problems from ground-up? Do you enjoy building new state-of-the-art products at internet scale? Come lead the innovation in this startup team, vertical ad products. This is a green field problem without a known answer or a pattern to follow.
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
How this job compares
Set against the 1,075 open Applied Scientist jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$167–226K/yr
- Washington median$143–226K/yr242 salary ranges
- US median$158–264K/yr1,036 salary ranges
This range's midpoint, $197K, is close to the Washington median midpoint ($197K) — in the middle half of Applied Scientist salary ranges in Washington.
- Openings
- Olive Jobs lists 248 open Applied Scientist jobs in Washington and 1,075 across the US. Under 1% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Amazon (this employer)195 open
- Microsoft Corporation23 open
- Oracle8 open
- Experience
- This posting asks for at least 6 years of experience; Applied Scientist postings that state a minimum ask for 5 years at the median (918 postings).
- Education
- 582 of the 1,075 open Applied Scientist jobs (54%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.



