Applied Research Scientist (L4) - Promotional Media
Netflix
- Los Gatos, CA
- Permanent
- Full-time
- Design and implement algorithmic solutions to create Visual Promotional Media Assets that are better at helping our members choose a story or game that will delight them in a cost-effective way.
- Collaborate with cross-functional teams, including product managers, engineers, and data scientists, to define problem statements, define roadmaps, and execute on priorities.
- Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions.
- Stay abreast of the latest developments in the field by attending conferences, reading research papers, and implementing promising novel ideas that can impact Promo Media workflows.
- Contribute to the growth of the team and domain by exploring new directions and initiating projects with high potential for a substantial additional impact.
- Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand in ML.
- You have a strong foundation in machine learning and deep learning, including supervised and/or unsupervised learning, deep learning architectures, GANs, and diffusion models.
- Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on Computer Vision.
- Suitable programming skills in Python and experience with ML/DL frameworks such as PyTorch.
- You have demonstrated the ability to solve complex problems with innovative algorithmic solutions in the media and content creation space. You are able to both develop novel algorithms and adapt existing methods from the literature to new challenges.
- You have an entrepreneurial spirit, the ability to balance risk against reward, and a strong desire to initiate and execute on projects that are likely to have a large impact. You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.
- You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture.
- The Netflix