Applied Scientist, Prime Video - Content Understanding

Amazon logo

Amazon

full-time

Posted: October 2, 2025

Number of Vacancies: 1

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 Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll 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!For examples of our work, please see a selection of our publications from ECCV, ICCV and ICLR: • https://www.amazon.science/publications/diffsign-ai-assisted-generation-of-customizable-sign-language-videos-with-enhanced-realism • https://www.amazon.science/publications/text-guided-video-masked-autoencoder • https://www.amazon.science/publications/look-globally-and-locally-inter-intra-contrastive-learning-from-unlabeled-videos Key job responsibilitiesAs an Applied Scientist, your day-to-day responsibilities will include:Defining technical strategy: You will collaborate with other leaders in Prime Video to define the problem we will solve long-term to serve customers. You will formulate our science and engineering strategy for achieving this vision. Execution: You will be at the forefront in bring the strategy to life. You will directly deliver key components of our science and research roadmap. You will act as a force-multiplier for other scientists in the team.Developing Others: You will mentor and coach junior scientists in the team. You will drive scientific and technical best practices for others and elevate the quality of the output produced by the entire team. About the teamOur Prime Video Content Understanding team builds holistic media representations (e.g. descriptions of scenes, semantic embeddings) and apply them to new customer experiences supply chain problems. Our technology spans the entire Prime Video catalogue globally, and we enable instant recaps, skip intro timing, ad placement, search, and content moderation. As an Applied Scientist in our Content Understanding Team, you will lead the end-to-end research and deployment of multi-modal models applied to a variety of downstream applications. We are seeking a science leader with deep knowledge of multi-modal content understanding, including Vision Language Models (VLMs) and Multi-Modal Language Models (MMLMs).

Locations

  • United States, CA, Sunnyvale, Sunnyvale, CA, United States
  • United States, WA, Seattle, Seattle, WA, United States
  • United States, NY, New York, New York, NY, United States

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

180,000 - 320,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
  • - 3+ years of building models for business application experienceintermediate
  • - Experience programming in Java, C++, Python or related languageintermediate

Required Qualifications

  • - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
  • - 3+ years of building models for business application experience (experience, 3 years)
  • - Experience programming in Java, C++, Python or related language (experience)

Preferred Qualifications

  • - Experience using Unix/Linux (experience)
  • - Experience in professional software development (experience)
  • 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 Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
  • Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)

Responsibilities

  • As an Applied Scientist, your day-to-day responsibilities will include:
  • Defining technical strategy: You will collaborate with other leaders in Prime Video to define the problem we will solve long-term to serve customers. You will formulate our science and engineering strategy for achieving this vision.
  • Execution: You will be at the forefront in bring the strategy to life. You will directly deliver key components of our science and research roadmap. You will act as a force-multiplier for other scientists in the team.
  • Developing Others: You will mentor and coach junior scientists in the team. You will drive scientific and technical best practices for others and elevate the quality of the output produced by the entire team.
  • About the team
  • Our Prime Video Content Understanding team builds holistic media representations (e.g. descriptions of scenes, semantic embeddings) and apply them to new customer experiences supply chain problems. Our technology spans the entire Prime Video catalogue globally, and we enable instant recaps, skip intro timing, ad placement, search, and content moderation.
  • As an Applied Scientist in our Content Understanding Team, you will lead the end-to-end research and deployment of multi-modal models applied to a variety of downstream applications.
  • We are seeking a science leader with deep knowledge of multi-modal content understanding, including Vision Language Models (VLMs) and Multi-Modal Language Models (MMLMs).

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Applied Scientist, Prime Video - Content Understanding

Amazon logo

Amazon

full-time

Posted: October 2, 2025

Number of Vacancies: 1

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 Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll 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!For examples of our work, please see a selection of our publications from ECCV, ICCV and ICLR: • https://www.amazon.science/publications/diffsign-ai-assisted-generation-of-customizable-sign-language-videos-with-enhanced-realism • https://www.amazon.science/publications/text-guided-video-masked-autoencoder • https://www.amazon.science/publications/look-globally-and-locally-inter-intra-contrastive-learning-from-unlabeled-videos Key job responsibilitiesAs an Applied Scientist, your day-to-day responsibilities will include:Defining technical strategy: You will collaborate with other leaders in Prime Video to define the problem we will solve long-term to serve customers. You will formulate our science and engineering strategy for achieving this vision. Execution: You will be at the forefront in bring the strategy to life. You will directly deliver key components of our science and research roadmap. You will act as a force-multiplier for other scientists in the team.Developing Others: You will mentor and coach junior scientists in the team. You will drive scientific and technical best practices for others and elevate the quality of the output produced by the entire team. About the teamOur Prime Video Content Understanding team builds holistic media representations (e.g. descriptions of scenes, semantic embeddings) and apply them to new customer experiences supply chain problems. Our technology spans the entire Prime Video catalogue globally, and we enable instant recaps, skip intro timing, ad placement, search, and content moderation. As an Applied Scientist in our Content Understanding Team, you will lead the end-to-end research and deployment of multi-modal models applied to a variety of downstream applications. We are seeking a science leader with deep knowledge of multi-modal content understanding, including Vision Language Models (VLMs) and Multi-Modal Language Models (MMLMs).

Locations

  • United States, CA, Sunnyvale, Sunnyvale, CA, United States
  • United States, WA, Seattle, Seattle, WA, United States
  • United States, NY, New York, New York, NY, United States

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

180,000 - 320,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
  • - 3+ years of building models for business application experienceintermediate
  • - Experience programming in Java, C++, Python or related languageintermediate

Required Qualifications

  • - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
  • - 3+ years of building models for business application experience (experience, 3 years)
  • - Experience programming in Java, C++, Python or related language (experience)

Preferred Qualifications

  • - Experience using Unix/Linux (experience)
  • - Experience in professional software development (experience)
  • 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 Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
  • Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)

Responsibilities

  • As an Applied Scientist, your day-to-day responsibilities will include:
  • Defining technical strategy: You will collaborate with other leaders in Prime Video to define the problem we will solve long-term to serve customers. You will formulate our science and engineering strategy for achieving this vision.
  • Execution: You will be at the forefront in bring the strategy to life. You will directly deliver key components of our science and research roadmap. You will act as a force-multiplier for other scientists in the team.
  • Developing Others: You will mentor and coach junior scientists in the team. You will drive scientific and technical best practices for others and elevate the quality of the output produced by the entire team.
  • About the team
  • Our Prime Video Content Understanding team builds holistic media representations (e.g. descriptions of scenes, semantic embeddings) and apply them to new customer experiences supply chain problems. Our technology spans the entire Prime Video catalogue globally, and we enable instant recaps, skip intro timing, ad placement, search, and content moderation.
  • As an Applied Scientist in our Content Understanding Team, you will lead the end-to-end research and deployment of multi-modal models applied to a variety of downstream applications.
  • We are seeking a science leader with deep knowledge of multi-modal content understanding, including Vision Language Models (VLMs) and Multi-Modal Language Models (MMLMs).

Target Your Resume for "Applied Scientist, Prime Video - Content Understanding"

Get personalized recommendations to optimize your resume specifically for Applied Scientist, Prime Video - Content Understanding. Our AI analyzes job requirements and tailors your resume to maximize your chances.

Keyword optimization
Skills matching
Experience alignment

Check Your ATS Score for "Applied Scientist, Prime Video - Content Understanding"

Find out how well your resume matches this job's requirements. Our Applicant Tracking System (ATS) analyzer scores your resume based on keywords, skills, and format compatibility.

Instant analysis
Detailed feedback
Improvement tips

Documents

Tags & Categories

amazon.artificial-intelligenceMachine Learning Science