Netflix Machine Learning Scientist L4/5 - Media Understanding 

United States, Oregon 

471015721

that use technologies like Computer Vision, Graphics, Machine Learning & Generative Algorithms toour creators to tell the best version of the story they want while allowing our studio to scale further.

Responsibilities

• Build ML models that push state-of-the-art either using Netflix’s unique multimodal dataset or algorithmic innovations or both.

• Design and implement state-of-the-art machine learning models for visual, audio and textual data.

• Optimize model performance while ensuring computational efficiency and scalability within Netflix’s infrastructure. Deploy and scale models using PyTorch and Netflix’s ML infrastructure.

• Collaborate with cross-functional teams, including product managers, engineers and data scientists, to define problem statements, shape roadmaps and execute on priorities.

• Engage with the ML community (at Netflix, and outside) through research and conference participation.

• Communicate complex concepts and the results of analyses with both technical and non-technical stakeholders to influence strategic decisions.

• (Optional) If experienced in generative modeling, explore its intersection with media understanding (e.g., latent space manipulation for embeddings).

About You

• You have a strong foundation in machine learning, deep learning, and multimodal representation learning.

• You have experience with self-supervised learning, contrastive loss, and transformer architectures.

• You are proficient in PyTorch, TensorFlow, or JAX, with experience deploying models at scale.

• You hold a PhD or MS in CS, AI, or a related field, with relevant research or applied experience.

• You have a strong track record of solving complex problems with innovative solutions, developing novel algorithms, and adapting existing methods to new challenges.

• You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.

• You thrive in fast-paced, dynamic environments and contribute positively to team collaboration and company culture.

• (Bonus)
  You have expertise in generative models, controllability, or latent space manipulation.

Job is open for no less than 7 days and will be removed when the position is filled.