AI Research Scientist - Promotional Assets and Creative Technology, AIMS

At Netflix, our mission is to connect global stories with audiences worldwide. When a Netflix member opens our app, we have a few precious moments to help them choose a story or a game that is right for them at that instance. Presenting them evidence (e.g. Artwork, Trailers, Synopses) that authentically represents each title and resonates with the member is essential to this effort.

The Promotional Assets & Creative Technology AIMS team is at the forefront of Netflix's efforts to effectively promote titles and enhance the content discovery experience. Our team partners closely with Netflix's world-class creative designer teams to amplify and scale promotional media assets for our members. We are looking for a seasoned applied Research Scientist to design and develop innovative AI/ML solutions. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how diverse media types are promoted on Netflix and discovered by our members.

Responsibilities

• Lead the end-to-end process of AI/ML development and deployment spanning research, model training, offline and online evaluation, and large-scale productization

• Partner closely with other research scientists and engineers to effectively integrate models into business applications and platforms

• Serve as a cross-functional subject matter expert to surface high-impact opportunities, define roadmaps, and prioritize research investments; drive execution with engineering, product, and creative teams.

• Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions

• Advance the state of the art and deliver innovations that enhance content discovery experience of our members.

• Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand

About You

• Strong AI/ML foundations with hands-on experience training, evaluating, and deploying vision-language models and multimodal LLM systems.

• Demonstrated research impact in computer vision and multimodal learning, evidenced by publications at top-tier conferences and journals.

• Strong programming skills in Python and experience with common ML frameworks such as PyTorch or Tensorflow.

• MS or PhD in ML, Computer Science or related fields.

• Proven track record of bringing clarity and leading ambitious roadmaps to solve complex problems.

• Exceptional communication and collaboration skills, and passionate about positively contributing to the team and company culture.

• Comfortable with ambiguity, able to take ownership, and thrive with minimal oversight and process.

Bonus Points

• Experience in building agentic workflows and systems for multimodal search and understanding is a big plus.