About the job
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.
Responsibilities
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 the 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 Amazon’s best practices for AIML, 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
Qualifications
Minimum
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 learning
Preferred
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 team’s 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. You’ll 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.