Machine Learning Engineer (L5) - Content and Studio id-7188

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

We are looking for an experienced ML engineer to develop, optimize, and deploy scalable ML solutions that enable self-service of analytics of both structured and unstructured data.

This role will be part of the Studio Production Data Science & Engineering team, focusing on enterprise productivity. The team is dedicated to developing and deploying analytical insights, as well as machine learning tools and models, to enhance strategy and decision-making within the Netflix Studio and beyond. By leveraging data science and engineering, the team aims to inform, support, and automate processes to drive efficiency and innovation

Other Jobs You May Be Interested In

Weekend Data Entry, $45/hr, Remote, No Experience Remote Data Entry, $40/hr, College Student Friendly, Part-Time Virtual Assistant, $35/hr, Evening, Remote, College Student Phone Support, Remote, $40/hr, Evening/Night Shift Phone Support, Remote, $40/hr, Evening/Night Shift Customer Support, $42/hr, Weekend Job, Remote, No Degree Virtual Assistant, No Experience, $42/hr, Remote, Weekend Data Entry, $40/hr, Evening Job, No Experience, Remote Remote Moderator, $40/hr, Part-Time, Weekend, No Degree Remote Data Entry, No Experience, $40/hr, Part-Time Virtual Assistant, No Experience, $40/hr, Remote, Part-Time Data Entry, $50/hr, Night Job, No Degree, Remote Live Chat Support, $40/hr, Weekend, Remote, College Student Remote Phone Support, $45/hr, Night Job, College Student Phone Support, Remote, $40/hr, Evening/Night Shift Entry-Level Remote Data Entry, $50/hr, Evening Job Remote Customer Support, $45/hr, No Degree, Evening Job Data Entry, $50/hr, Night Job, No Degree, Remote Virtual Assistant, $40/hr, Evening, Remote, College Student Virtual Assistant, $35/hr, Evening, Remote, College Student Virtual Assistant, $45/hr, No Experience, Remote, Night Job Part-Time Data Entry, $45/hr, Remote, College Student Friendly Evening Virtual Assistant, Remote, $40/hr, No Experience Remote Moderator, No Degree, $50/hr, Evening, Weekend Job Phone Support, Remote, $35/hr, No Experience, Night Shift Virtual Assistant, $42/hr, Remote, No Experience, Evening Remote Data Entry, $45/hr, Weekend Job, College Student Remote Live Chat, $42/hr, Weekend, No Degree, Part-Time Data Entry, $45/hr, Remote, Evening, No Experience Required Live Chat Support, $40/hr, Weekend, Remote, College Student Remote Customer Support, $40/hr, Part-Time, College Student Virtual Assistant, Remote, $35/hr, Part-Time, Night Shift Remote Live Chat, $40/hr, Part-Time, No Degree Required Remote Phone Job, $40/hr, Part-Time, No Degree Required Virtual Assistant, No Experience, $42/hr, Remote, Weekend Remote Data Entry, No Experience, $40/hr, Part-Time Remote Live Chat, $45/hr, College Student, No Experience Remote Customer Support, $50/hr, Night Shift, No Degree Live Chat Support, $40/hr, Part-Time, Remote, No Degree Live Chat Support, $45/hr, Part-Time, Remote, No Degree Data Entry, $40/hr, Part-Time, Remote, Weekend Job Remote Phone Job, $35/hr, College Student, Night Shift Virtual Assistant, $50/hr, Weekend, No Degree, Remote Remote Phone Job, $42/hr, Night Shift, College Student Friendly Phone Support, $50/hr, Weekend, Remote, No Experience Remote Moderator, $40/hr, College Student Friendly, Part-Time Phone Support, Remote, $35/hr, No Experience, Part-Time Live Chat Support, $40/hr, Remote, Entry Level, Part-Time Remote Live Chat, $35/hr, College Student, No Experience Virtual Assistant, No Experience, $42/hr, Remote, Weekend Remote Phone Job, $45/hr, No Degree, College Student Friendly Data Entry, $45/hr, Remote, Night Job, No Degree Virtual Assistant, $42/hr, Evening, Remote, College Student Virtual Assistant, $42/hr, Remote, No Experience, Evening Remote Customer Support, $40/hr, Weekend, No Experience Remote Phone Job, $40/hr, No Degree, College Student Friendly Virtual Assistant, Remote, $50/hr, Part-Time, Night Shift Virtual Assistant, $40/hr, Remote, Night Shift, No Experience Virtual Assistant, $45/hr, Remote, No Experience, Night Job Remote Phone Job, $35/hr, College Student, Night Shift Virtual Assistant, $40/hr, Evening, Remote, No Degree Virtual Assistant, $40/hr, Weekend, College Student, Remote Live Chat Support, Remote, $42/hr, Night Shift, College Student Remote Data Entry, $40/hr, College Student Friendly, Part-Time Live Chat Support, $50/hr, Remote, Night Shift, No Degree Data Entry, No Experience, $50/hr, Remote, College Student Remote Customer Support, $40/hr, No Experience, Part-Time Weekend Data Entry, $45/hr, Remote, No Experience Data Entry, Remote, $40/hr, Evening Job, No Degree Data Entry, Remote, $40/hr, Night Shift, No Degree Remote Customer Support, $45/hr, No Degree, Evening Job Virtual Assistant, $50/hr, Part-Time, Remote, Weekend Job Remote Data Entry, $40/hr, Part-Time, No Degree Required Remote Moderator, $45/hr, No Degree, Weekend Job, Part-Time Customer Support, $42/hr, Remote, Evening, No Experience Phone Support, Remote, $35/hr, No Experience, Part-Time Live Chat Support, $50/hr, Remote, Night Shift, No Degree Remote Phone Job, $40/hr, No Degree, College Student Friendly Customer Support, $35/hr, Remote, Evening/Night Job, No Degree Customer Support, $40/hr, Remote, Evening, No Experience Remote Phone Job, $40/hr, No Degree, College Student Friendly Remote Moderator, $42/hr, Weekend, No Experience Required Remote Customer Support, $42/hr, Night Job, No Experience Data Entry, Remote, $40/hr, Night Shift, No Degree Phone Job, $35/hr, Remote, No Degree, Part-Time, Weekend Remote Customer Support, $45/hr, No Degree, Evening Job Virtual Assistant, $40/hr, Remote, No Experience, Night Job Remote Customer Support, $40/hr, No Experience, Part-Time Data Entry, No Degree, $45/hr, Part-Time, Remote Job Data Entry, No Degree, $40/hr, Part-Time, Remote Job

Responsibilities

• Design, build and optimize ML pipelines for document understanding & extraction, and insights generation.
• 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 language and vision models and embeddings into downstream applications, including chat interfaces, internal applications and other ML models.
• 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, deep learning architectures, and model evaluation
• You have prior experience in language model embeddings, fine-tuning pipelines and frameworks around language models.
• 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 operationalizing ML models, particularly in the areas of natural language processing and machine learning.
• 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 with ambiguity, contributing positively to team collaboration and company culture.