Senior Applied Scientist Prime Video Playback Intelligence
Senior Applied Scientist Prime Video Playback Intelligence
Posted on :
09-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job Description
Prime Video is a firststop 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 Studiosproduced series and movies; licensed fan favorites; and programming from Prime Video addon 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 bestinclass digital video experience.
As a Prime Video technologist youll have endtoend ownership of the product user experience design and technology required to deliver stateoftheart experiences for our customers. Youll get to work on projects that are fastpaced 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 skillsets 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!
As a Senior Applied Scientist in the Prime Video Playback Intelligence organization you will have deep subject matter expertise in applied machine learning and data science with specializations in video streaming optimization information retrieval anomaly detection and rootcausing systems large language models and generative AI across various modalities.
Key job responsibilities
* You will work with multiple teams of scientists engineers and product managers to translate business and functional requirements into concrete deliverables leading strategic efforts to enhance customer quality of experiences.
* Problem spaces you will be working on include: improving the customer playback quality of experience across Video on Demand Live Events and Linear Content. Youll aim to reduce the time/cost/effort to optimize the customer experience as well as detect rootcause and mitigate defects in the customer experience. Youll seek to understand the depth and nuance of streaming video at scale and identify opportunities to grow our business and improve customer quality of experience via principled ML/AI solutions. You will also lead integration of new algorithms and processes into existing modeling stacks simplify and streamline the existing modeling stacks and develop testing and evaluation strategies. Ultimately youll work backwards from the desired outcomes and lead the way on determining the ideal solution (statistical techniques traditional ML GenAI etc).
* You will be responsible for defining key research directions adopting or inventing new machine learning techniques conducting rigorous experiments publishing results and ensuring that research is translated into practice. You will develop longterm strategies persuade teams to adopt those strategies propose goals and deliver on them.
* You will also participate in organizational planning hiring mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in fullcycle development (conception design implementation testing to documentation delivery and maintenance).
* You will also work with external academic partners to support our inhouse talent with direct access to cutting edge research and mentoring.
A day in the life
We love solving challenging and hard problems in our quest to innovate on behalf of our customers and provide the best video streaming experience. We push the boundaries to leverage and invent technologies which help create unrivaled experiences for our customers to help us move fast in a growing and changing environment. We use data to guide our decisions work closely with our engineering and product counterparts and partner with other Science teams as well as academic institutions to learn and guide in an environment of innovation.
Our team works on several STeam and SVP goals with significant science dependencies. Your work will have high visibility and will directly impact both customer experience and business outcomes.
3 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
Handson experience with designing and prototyping AI solutions for real world applications.
Track record of delivering largescale and highquality science solutions.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 bestinclass digital video experience.
As a Prime Video technologist youll have endtoend ownership of the product user experience design and technology required to deliver stateoftheart experiences for our customers. Youll get to work on projects that are fastpaced 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 skillsets 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!
As a Senior Applied Scientist in the Prime Video Playback Intelligence organization you will have deep subject matter expertise in applied machine learning and data science with specializations in video streaming optimization information retrieval anomaly detection and rootcausing systems large language models and generative AI across various modalities.
Key job responsibilities
* You will work with multiple teams of scientists engineers and product managers to translate business and functional requirements into concrete deliverables leading strategic efforts to enhance customer quality of experiences.
* Problem spaces you will be working on include: improving the customer playback quality of experience across Video on Demand Live Events and Linear Content. Youll aim to reduce the time/cost/effort to optimize the customer experience as well as detect rootcause and mitigate defects in the customer experience. Youll seek to understand the depth and nuance of streaming video at scale and identify opportunities to grow our business and improve customer quality of experience via principled ML/AI solutions. You will also lead integration of new algorithms and processes into existing modeling stacks simplify and streamline the existing modeling stacks and develop testing and evaluation strategies. Ultimately youll work backwards from the desired outcomes and lead the way on determining the ideal solution (statistical techniques traditional ML GenAI etc).
* You will be responsible for defining key research directions adopting or inventing new machine learning techniques conducting rigorous experiments publishing results and ensuring that research is translated into practice. You will develop longterm strategies persuade teams to adopt those strategies propose goals and deliver on them.
* You will also participate in organizational planning hiring mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in fullcycle development (conception design implementation testing to documentation delivery and maintenance).
* You will also work with external academic partners to support our inhouse talent with direct access to cutting edge research and mentoring.
A day in the life
We love solving challenging and hard problems in our quest to innovate on behalf of our customers and provide the best video streaming experience. We push the boundaries to leverage and invent technologies which help create unrivaled experiences for our customers to help us move fast in a growing and changing environment. We use data to guide our decisions work closely with our engineering and product counterparts and partner with other Science teams as well as academic institutions to learn and guide in an environment of innovation.
Our team works on several STeam and SVP goals with significant science dependencies. Your work will have high visibility and will directly impact both customer experience and business outcomes.
3 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
Handson experience with designing and prototyping AI solutions for real world applications.
Track record of delivering largescale and highquality science solutions.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
