Jobs / Ama***
Senior Applied Scientist , Sponsored Products
Ama*** · Seattle, WA, United States
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Seattle, WA, United States183,800-248,700 USD/yearlyRemote
Remuneration
183,800-248,700 USD/yearly
Location
Seattle, WA, United States
Visa sponsorship
Sponsors visa
Job summary
DESCRIPTION The Sponsored Products and Brands 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 Ama*** and beyond.
Benefits
Learn more about ourAt https://amazon.jobs/en/USA, NY, New York - 183,800.00 - 248,700.00 USD annuallyUSA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually
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
- Experience with modeling
- and location.
- Amazon also offers comprehensive
Responsibilities
- We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model– and leveraging this knowledge to help turn the flywheel of the business.
- As a Senior Applied Scientist on this team you will:
- Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.
- Lead technical efforts within this team and across other teams.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Work closely with software engineers to assist in productionizing your ML models.
- Research new machine learning approaches.
- Recruit Applied Scientists to the team and act as a mentor to other scientists on the team.
- A day in the life
- The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment.
Degrees
AssociateDegreeMasterPhD
Industry
AutomotiveEnergyInsurance
Company size
Smb