Sr. Applied Scientist, Elemental Video Engine
Sr. Applied Scientist, Elemental Video Engine
Posted on :
04-07-2025
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1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
04-07-2025
Job Description
AWS Infrastructure Services owns the design planning delivery and operation of all AWS global infrastructure. In other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
AWS Elemental is an Amazon Web Services company that combines deep video expertise with the power and scale of the cloud. We are looking for a Senior Applied Scientist focused on video compression and filtering to build advanced video processing functions.
As an Applied Scientist you will research and develop methods to improve our compression efficiency video filters and enabling new use cases for our customers. Youll work on cutting edge compression technologies like AV1 HEVC and high dynamic range video. Youll bring to production new broadcast grade AI based filters not possible before. Youll use AI to enable new applications for some of the largest media providers. You will work on a focused team with clear leadership and a direct ability to solve our customers problems and enable their success. Your work will have a broad reach. Your designs will process thousands of video streams around the world and the final output will be enjoyed by millions of viewers.
Key job responsibilities
- Improving the quality per bit in our home-grown video encoders utilizing traditional and AI techniques.
- Design improved video filters whether this be a scaler deinterlacer or a brand new perceptual filter.
- Enable new workflows for our customers allowing them to extract information from their content
About the team
We are the Elemental Video Engine team responsible for everything that happens to a pixel in the AWS media services MediaLive and MediaConvert as well as AWS Elemental appliances. These services and appliances are trusted by some of the biggest names in the industry to reliably deliver the best video quality per bit.
We are an experienced team currently distributed between Portland Oregon; Vancouver British Columbia; and San Jose California. We are doers: we focus on solving customer problems with all team members coming up with new ideas and implementing production code.
*Why AWS*
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
*Work/Life Balance*
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
*Inclusive Team Culture*
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
*Mentorship and Career Growth*
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 3 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 computer vision
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience using ML in video compression
- Experience designing video filters
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.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
AWS Elemental is an Amazon Web Services company that combines deep video expertise with the power and scale of the cloud. We are looking for a Senior Applied Scientist focused on video compression and filtering to build advanced video processing functions.
As an Applied Scientist you will research and develop methods to improve our compression efficiency video filters and enabling new use cases for our customers. Youll work on cutting edge compression technologies like AV1 HEVC and high dynamic range video. Youll bring to production new broadcast grade AI based filters not possible before. Youll use AI to enable new applications for some of the largest media providers. You will work on a focused team with clear leadership and a direct ability to solve our customers problems and enable their success. Your work will have a broad reach. Your designs will process thousands of video streams around the world and the final output will be enjoyed by millions of viewers.
Key job responsibilities
- Improving the quality per bit in our home-grown video encoders utilizing traditional and AI techniques.
- Design improved video filters whether this be a scaler deinterlacer or a brand new perceptual filter.
- Enable new workflows for our customers allowing them to extract information from their content
About the team
We are the Elemental Video Engine team responsible for everything that happens to a pixel in the AWS media services MediaLive and MediaConvert as well as AWS Elemental appliances. These services and appliances are trusted by some of the biggest names in the industry to reliably deliver the best video quality per bit.
We are an experienced team currently distributed between Portland Oregon; Vancouver British Columbia; and San Jose California. We are doers: we focus on solving customer problems with all team members coming up with new ideas and implementing production code.
*Why AWS*
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
*Work/Life Balance*
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
*Inclusive Team Culture*
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
*Mentorship and Career Growth*
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 3 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 computer vision
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience using ML in video compression
- Experience designing video filters
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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