-
Sr. Applied Scientist, Amazon Publisher Cloud
- Amazon (Austin, TX)
-
Description
Amazon Publisher Cloud is a game-changing new service that operates at the intersection of advertising, secure signal collaboration, and cloud services. In this role you will be a key member of an entrepreneurial team tackling some of the most exciting and complex opportunities in digital advertising.
Amidst rapid growth and evolving challenges, Amazon Publisher Cloud seeks an Applied Scientist with a deep passion for data, innovation, and the drive to explore new frontiers. This role is perfect for a leader capable of inspiring our team, pioneering new strategies, and playing a crucial role in crafting world-class advertising solutions. If you're ready to lead in a culture that prioritizes experimentation, teamwork, and ownership, join us. Together, we'll lead the advancement of advertising, pushing boundaries to ensure our continued success and growth.
Key job responsibilities
As a Senior Applied Scientist in the team, you will:
- Deeply analyze our current offerings to uncover opportunities for business growth through advanced ML solutions.
- Provide mentorship to applied scientists and data scientists within the organization, setting a high bar for technical rigor and ML excellence.
- Collaborate closely with engineering teams, leveraging your expertise to navigate technical constraints and achieve optimal performance.
- Explore and pioneer innovative, high-impact research avenues in uncharted technical and scientific areas, leading them from inception to successful implementation.
- Take the lead in sharing our ML breakthroughs with the wider scientific community and external stakeholders.
- Research, build, and deploy innovative ML solutions; working across all technical disciplines.
About the team
Amazon Publisher Services helps digital publishers around the world build and grow thriving businesses. We provide services and advanced technologies to web, mobile app and advanced TV publishers of all sizes, including many of comScore’s global top 100, to help them monetize their content with demand from multiple programmatic buyers. Our server-side header bidding solutions are fast and reliable across devices, handling billions of queries per day, delivering ads in milliseconds. The result is more profitable advertising for publishers and more relevant ads for customers.
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.
- Outstanding verbal and written communication skills.
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.
-
Recent Jobs
-
Sr. Applied Scientist, Amazon Publisher Cloud
- Amazon (Austin, TX)
-
UI Angular Senior Developer - AVP / Tampa, FL (hybrid)
- Citigroup (Tampa, FL)
-
Data Engineering Manager, Analytics
- Meta (Menlo Park, CA)
-
Data Architect Asc Mgr - 1LMX / Common Data Lakehouse
- Lockheed Martin (Grand Prairie, TX)