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$167k–$249k/yr
Senior$67M raised
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Seattle, Washington, United States · On-site
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Seattle, Washington, United States · On-site
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Applied Scientist III, Sponsored Products and Brands Auctions
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$167k–$249k/yr
Full-time
postgraduate degree
Health insurance, Medical insurance, Dental insurance, Vision insurance, Prescription insurance, Basic life insurance
Posted 45d ago
~40 hrs/week
Responsibilities
Architect next-generation systems to improve Amazon's search page and develop real-time machine learning algorithms for advertising auctions. Lead end-to-end projects, including problem formulation and the design and analysis of A/B experiments to optimize ad performance.
Requirements
Requires 3+ years of experience building machine learning models for business applications and proficiency in Java, C++, or Python. Candidates must hold a PhD or a Master's degree with at least 6 years of applied research experience.
Full job description
About Sponsored Products and Brands
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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.
About our team
The Search Ranking and Interleaving (R&I) team within Sponsored Products and Brands is responsible for determining which ads to show and the quality of ads shown on the search page (e.g., relevance, personalized and contextualized ranking to improve shopper experience, where to place them, and how many ads to show on the search page. This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests. To do this, we apply a broad range of GenAI and ML techniques to continuously explore, learn, and optimize the ranking and allocation of ads on the search page. We are an interdisciplinary team with a focus on improving the SP experience in search by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them.
A day in the life
As a Sr. Applied Scientist on this team, you will identify big opportunities for the team to make a direct impact on customers and the search experience. You will work closely with with search and retail partner teams, software engineers and product managers to build scalable real-time GenAI and ML solutions. You will lead projects end-to-end including problem formulation in collaboration with Product Managers and key stakeholders, lead a team of scientists to build models, design, run, and analyze A/B experiments to improve the experience of millions of Amazon shoppers.
Key job responsibilities - Architect next-generation systems that improve Amazon's Search page. - Pioneer breakthrough applied science in multi-modal GenAI applications for advertising, combining text, image, and multi-lingual support. - Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions. - Research new and innovative machine learning approaches.
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 in auctions or mechanism design
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 much do Science & Research jobs in Seattle, WA pay?
Based on 1053 listings with disclosed salaries, most science & research jobs in Seattle, WA pay between $68k–$224k per year. Individual offers vary with seniority, company size, and specialization.
How many Science & Research jobs are open in Seattle, WA right now?
There are currently 1,177 open science & research positions in Seattle, WA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Seattle, WA?
Companies currently hiring include Blue Origin, Amazon, UW Medicine, Anthropic, Seattle Children's, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Seattle, WA?
Yes — 246 of the 1177 open science & research positions offer remote or hybrid work (61 remote, 185 hybrid).
How do I apply for Science & Research jobs in Seattle, WA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.