Applied Scientist III, AWS Elemental MediaConvert

DescriptionIf youu2019re curious, empathetic, and passionate about video technologiesu2014and excited about applying innovative machine learning techniquesu2014we want you as a team member This is a position where youu2019ll get to be innovative and creative while working on challenging and impactful problems in the video space. You will prototype and integrate advanced models at scale, powering experiences used by customers all over the world, from small start-ups to major broadcasting companies. As a Senior Applied Scientist on the team, youu2019ll be both a leader and a key technical contributor. A successful candidate has strong expertise in applied science (machine learning, artificial intelligence, data analysis) as well as effective communication and leadership skills, with experience mentoring and collaborating across disciplines. You must have a proven track record of delivering on your teamu2019s most critical and challenging projects and the ability to listen empathetically to differing opinions, building consensus to guide the team toward a deeper understanding of a problem. Youu2019ll need to be able to take ambiguous and complex problems and develop innovative models and algorithms that balance customer needs and timelines with long-term maintainability and scalability. If youu2019re excited about media services and you want to grow your machine learning and applied science skills in a supportive environment, join our team and help customers get inspiring and compelling video content to their viewers Key job responsibilities u2022 Building prototypes, optimizing and deploying advanced machine learning models into production to solve complex challenges in video processing, understanding, and content monetization u2022 Collaborating with product management, engineers, and data scientists to design and drive the delivery of new customer-focused features and enhancements u2022 Developing scalable solutions to enhance quality, improve the performance, and resiliency of our video services through data-driven modeling and experimentation u2022 Participating in code and model reviews to help the team identify sharp edges, estimate edge cases, anticipate challenges, follow Amazonu2019s best practices for AIML, and improve the quality of scientific and engineering work u2022 Mentoring team members on machine learning best practices, advanced modeling techniques, and service improvements, fostering continuous growth in technical and research skills u2022 Contributing to operational tooling and improvements, including building metrics, dashboards, and monitoring solutions to ensure our systems and models perform reliably at scale u2022 Contributing towards publication of applied research work in conferences internally or externally About the team At Elemental, we focus on career growth and work with you to find projects that will help you succeed individually in your career while making the team successful. We will do our part to ensure you are challenged, while providing you with the tools, resources, and mentorship to support your development as a scientist. We recognize that you spend a large number of your hours at work and we value the importance of feeling fulfilled and satisfied in your role. We will collaborate with you to create a work environment that makes you most productive and contented, recognizing that it looks different for everyone. We also respect your life outside of work, and we are flexible in how you manage your schedule so you can find a flow that fits your life. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, weu2019re 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 u2014 and weu2019re looking for talented people who want to help. Youu2019ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. Youu2019ll 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 youu2019ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS 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, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 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, thereu2019s nothing we canu2019t achieve.Basic Qualifications- PhD, or Master's 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 learningPreferred Qualifications- Extensive experience developing and deploying large-scale machine learning systems, particularly in video processing or computer vision - Expertise in large language models or demonstrated ability to develop this expertise quickly - Deep expertise in modern deep learning frameworks and production ML systems - Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience 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 Companyu2019s 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 youu2019re applying in isnu2019t 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 . USA, CA, Santa Clara - 192,200.00 - 260,000.00 USD annually USA, OR, Portland - 167,100.00 - 226,100.00 USD annually

Created: 2026-04-20