Applied Scientist III, AWS Elemental

If you’re curious, empathetic, and passionate about video technologies—and excited about applying innovative machine learning techniques we want you as a team member! This is a position where you’ll 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 you’ll be both a leader and a key technical contributor, mentoring and collaborating across disciplines, delivering on the team’s most critical projects and developing innovative models and algorithms that balance customer needs and timelines with long‑term maintainability and scalability.

• Building prototypes, optimizing and deploying advanced machine learning models into production to solve complex challenges in video processing, understanding and content monetization
• Collaborating with product management, engineers and data scientists to design and drive the delivery of new customer‑focused features and enhancements
• Developing scalable solutions to enhance quality, improve performance and resiliency of our video services through data‑driven modeling and experimentation
• Participating in code and model reviews to help the team identify sharp edges, estimate edge cases, anticipate challenges, follow best practices and improve the quality of scientific and engineering work
• Mentoring team members on machine learning best practices, advanced modeling techniques and service improvements, fostering continuous growth in technical and research skills
• Contributing to operational tooling and improvements, including building metrics, dashboards and monitoring solutions to ensure our systems and models perform reliably at scale
• Contributing towards publication of applied research work in conferences internally or externally

• PhD or Master’s degree with 6+ years of applied research experience
• Experience programming in Java, C++, Python or a related language
• Experience with neural deep learning methods and machine learning

• 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 that expertise quickly
• Deep expertise in modern deep learning frameworks and production ML systems
• Excellent written and verbal technical communication with ability to present complex technical information clearly and concisely to a variety of audiences

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 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 & 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.

• USA, CA, Santa Clara – $–$ USD annually
• USA, OR, Portland – $–$ USD annually