Senior Applied Scientist, Prime Video - Content Generation Team
Senior Applied Scientist, Prime Video - Content Generation Team
Posted on :
04-07-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
04-07-2025
Job Description
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies series documentaries and live sports including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV Max Crunchyroll and MGM. All customers regardless of whether they have a Prime membership or not can rent or buy titles via the Prime Video Store and can enjoy even more content for free with ads.
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 team member 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!
We are looking for an Senior Applied Scientist to push the envelope of content localization and generation. The ideal candidate combines machine learning expertise with the ability to deploy algorithms into production. You have deep knowledge in one of: graphics deep learning generative AI and/or reinforcement learning and experience applying them to Amazon-scale data. You understand tradeoffs between business needs and model complexity and you take calculated risks in developing rapid prototypes and iterative model improvements. You are excited to learn from and alongside seasoned scientists engineers and business leaders. You are an excellent communicator and effectively translate technical findings into production systems and business action (and customer delight).
Key job responsibilities
As a Senior Applied Scientist on this team you will:
Be the technical leader in machine learning; lead efforts within this team and across other teams.
Perform hands-on analysis and modeling of enormous data sets to develop insights that increase customer engagement and monetization.
Drive end-to-end machine learning projects that have a high degree of ambiguity scale complexity.
Build machine learning models perform proof-of-concept experiment optimize and deploy your models into production; work closely with product managers and engineers to assist in productionizing your models.
Run 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.
Research new and innovative machine learning approaches.
Recruit scientists to the team and provide mentorship.
Share knowledge and research outcomes via internal and external conferences and journal publications
A day in the life
In this role you will invent science and systems for content localization generation including graphics and machine learning-based modeling systems. You will work with a team of scientists and product managers to design customer-facing products and you will work with technology teams to productize and maintain the associated solutions.
- 5 years of building machine learning models for business application experience
- PhD or Masters 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
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Publications at top-tier peer-reviewed conferences or journals in one of those areas (computer vision graphics machine learning)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 team member 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!
We are looking for an Senior Applied Scientist to push the envelope of content localization and generation. The ideal candidate combines machine learning expertise with the ability to deploy algorithms into production. You have deep knowledge in one of: graphics deep learning generative AI and/or reinforcement learning and experience applying them to Amazon-scale data. You understand tradeoffs between business needs and model complexity and you take calculated risks in developing rapid prototypes and iterative model improvements. You are excited to learn from and alongside seasoned scientists engineers and business leaders. You are an excellent communicator and effectively translate technical findings into production systems and business action (and customer delight).
Key job responsibilities
As a Senior Applied Scientist on this team you will:
Be the technical leader in machine learning; lead efforts within this team and across other teams.
Perform hands-on analysis and modeling of enormous data sets to develop insights that increase customer engagement and monetization.
Drive end-to-end machine learning projects that have a high degree of ambiguity scale complexity.
Build machine learning models perform proof-of-concept experiment optimize and deploy your models into production; work closely with product managers and engineers to assist in productionizing your models.
Run 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.
Research new and innovative machine learning approaches.
Recruit scientists to the team and provide mentorship.
Share knowledge and research outcomes via internal and external conferences and journal publications
A day in the life
In this role you will invent science and systems for content localization generation including graphics and machine learning-based modeling systems. You will work with a team of scientists and product managers to design customer-facing products and you will work with technology teams to productize and maintain the associated solutions.
- 5 years of building machine learning models for business application experience
- PhD or Masters 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
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Publications at top-tier peer-reviewed conferences or journals in one of those areas (computer vision graphics machine learning)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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