Software Engineer 7, Content Promotion & Distribution
Job Description
Netflix, a global entertainment powerhouse with 300 million+ subscribers across 190 countries, is seeking a Principal Software Engineer for their Content Promotion & Distribution team. This role sits at the crucial intersection of consumer experience and Netflix Studio, focusing on developing innovative AI-driven solutions for content cataloging, promotion, localization, and distribution.
The position offers an exciting opportunity to shape the future of Netflix's supply chain and content distribution systems, with a strong emphasis on leveraging generative AI to automate complex workflows. You'll be at the forefront of creating AI-native products that revolutionize how Netflix creates and promotes content, working with cutting-edge technologies and frameworks like TensorFlow and PyTorch.
As a Principal Engineer, you'll lead the technical vision and re-architecture of the content product ecosystem, collaborating with cross-functional teams of engineers, product managers, and researchers. The role combines technical leadership with hands-on development, requiring both strategic thinking and practical implementation skills.
The position offers a competitive compensation range of $310,000 - $1,870,000, with the flexibility to choose your preferred mix of salary and stock options. Netflix's unique culture values innovation, inclusion, and excellence, making this an ideal opportunity for someone passionate about using AI to transform the entertainment industry.
Responsibilities For Software Engineer 7, Content Promotion & Distribution
- Cultivate technical vision by identifying opportunities within content product ecosystem
- Lead re-architecture of content product ecosystem
- Drive engineering vision and development of new AI-native products
- Lead, coach, and collaborate with engineers, product managers, and researchers
- Transform AI models into products that evolve supply chain
- Take new products and features from 0 to 1
- Rapidly prototype new capabilities and iterate based on evaluation
- Optimize software performance and ensure reliability of deployed AI-native applications
Requirements For Software Engineer 7, Content Promotion & Distribution
- Proven experience in architecting and productizing scaled, end-to-end solutions using machine learning
- Technical leadership with strategic, hands-on approach to architecting complex systems
- Ability to drive problems end-to-end
- Exceptional communication and collaboration skills
- Strong judgment and bias for action in fast-paced environment
- Advanced degree (MS or PhD) in Computer Science or related field preferred
- Experience with ML frameworks like TensorFlow, PyTorch, or Metaflow preferred
- Experience in media technology domain preferred
Benefits For Software Engineer 7, Content Promotion & Distribution
- Flexible compensation structure with choice between salary and stock options
