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Lead Scientist, Content Production Technology
2 months ago
About Prime Video: Prime Video is at the forefront of transforming television for audiences across the globe, providing an extensive array of films, series, and live sports. Our platform ensures high-quality streaming experiences for Amazon customers through various offerings, including subscriptions and purchases.
Our Mission: The Prime Video Content & Partner Lifecycle (CPL) team is dedicated to curating the most comprehensive and precise content library, striving to create an entertainment hub that resonates with viewers worldwide. We aim to deliver timely, meaningful, and accessible content while fostering strong relationships with our content partners.
Role Overview: We are seeking a Senior Principal Scientist to spearhead the evolution of advanced studio production processes, enhance automation, and elevate visual storytelling. This leadership position requires a blend of scientific expertise and practical application to drive product innovation and improve customer experiences.
Key Responsibilities:
- Define the scientific vision for the Prime Video Studios Tech team, collaborating with diverse teams of scientists and engineers to translate business needs into actionable solutions.
- Advance the integration of Computer Vision technologies and Deep Learning across various stages of the production lifecycle, including pre-production, production, and post-production.
- Lead pioneering research initiatives and provide strategic guidance to implement Generative AI solutions within Prime Video Studios Tech.
- Develop scalable solutions that can be utilized by partner teams and content providers, enhancing collaboration across the organization.
- Represent Prime Video at scientific conferences and engage with academic partners to foster cutting-edge research and talent development.
Why Join Us: This role presents a unique opportunity to influence the future of television for millions of viewers. Our commitment to machine learning excellence and innovation positions us as leaders in the industry, and we actively publish our findings to contribute to the broader scientific community.
Basic Qualifications:
- PhD in Computer Science, Mathematics, or a related discipline.
- 15+ years of experience in developing machine learning models.
- Expertise in building complex, real-time systems utilizing Computer Vision and Deep Learning methodologies.
- Strong understanding of Generative AI and foundational models.
- A proven record of peer-reviewed scientific publications that advance applied science.
Preferred Qualifications:
- Experience in media production, including virtual effects and content synthesis.
- Solid foundation in Computational Linguistics, NLP, and machine translation.
- Ability to provide strategic direction and influence cross-functional teams effectively.
- Proven track record of managing large-scale projects from conception to launch.
- Exceptional communication skills, capable of conveying complex technical concepts to diverse audiences.
Diversity and Inclusion: Amazon is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and value diversity in our workforce.
