Netflix Machine Learning Engineer L5 - Content & Media ML Foundations 

United States, Oregon 

997189856

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

• Design, build and optimize ML pipelines for content understanding and media intelligence.

• Develop and deploy large-scale ML models efficiently using Netflix’s ML infrastructure.

• Optimize model performance and inference efficiency, ensuring scalability in high-throughput distributed environments.

• Automate ML workflows for training, tuning and deployment, enabling faster experimentation and productization.

• Collaborate with ML scientists and engineers to integrate multimodal models and embeddings into downstream applications, including retrieval, ranking and search pipelines.

• Improve ML observability, model evaluations, model monitoring, and debugging tools to ensure reliability of deployed models.

• Stay up to date with ML infrastructure advancements, identifying new technologies and best practices to enhance efficiency.

About You

• You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures.

• You have a track record of deploying ML systems at scale, particularly in high-performance inference and distributed training environments.

• You have hands-on experience with training large generative models across multiple modalities (text, images, videos).

• You have a strong understanding of feature engineering, data pipelines, and model lifecycle management.

• You hold an advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence or computer vision.

• You have at least 5 years of relevant industry experience designing and implementing ML models, particularly in the areas of natural language processing, audio and video understanding.

• You are proficient in Python and have experience with ML/DL frameworks such as PyTorch, or Jax.

• You excel at complex problem solving with innovative solutions, developing novel algorithms, and adapting existing methods from literature 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, contributing positively to team collaboration and company culture.

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