Applied Scientist, Prime Video Title Lifecycle Presentation
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Are you interested in shaping the future of entertainment Prime Videos technology teams are creating best-in-class digital video experience.
As a Prime Video technologist youll have end-to-end ownership of the product user experience design and technology required to deliver state-of-the-art experiences for our customers. Youll get to work on projects that are fast-paced challenging and varied. Youll also be able to experiment with new possibilities take risks and collaborate with remarkable people.
Well look for you to bring your diverse perspectives ideas and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists you can decide where a career Prime Video Tech takes you!
The Prime Video Title Lifecycle Presentation team sits at the intersection of science experimentation and customer experience. We leverage data signals and rigorous testing to present the most engaging information about our content to customers at precisely the right moment. Our mission is to ensure every customer interaction with Prime Video content is informed relevant and compelling in order to drive discovery and engagement across our vast catalog.
Were seeking an Applied Scientist who excels at building sophisticated machine learning systems for content presentation and discovery. The ideal candidate brings deep expertise in:
- Multi-modal embeddings for rich metadata representation enabling nuanced understanding of content attributes and customer preferences
- Contextualized ranking systems that adapt to customer intent viewing context and real-time signals
- Reinforcement learning frameworks that create continuous improvement loops allowing our systems to learn and optimize from customer interactions over time
- General modeling techniques with strong fundamentals in machine learning and statistical methods
- Recommender systems experience with proven ability to build and scale personalization solutions
Youll work with cutting-edge technology to solve complex problems in content discovery leveraging large-scale data to create experiences that delight millions of Prime Video customers worldwide.
Key job responsibilities
As an Applied Scientist you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally you will analyze and model terabytes of text images and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.
We are looking for smart scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent design evangelize and implement state-of-the-art solutions for never-before-solved problems.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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