Machine Learning Manager, Asset Generation DSE

Netflix • Morton, IL

2d

About The Position

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
When a Netflix member opens our app, we have a few precious moments to help them choose entertainment that is right for them at that instance. Presenting them with Artwork, Trailers, Synopses that authentically represents each title and resonates with the member is essential to this effort.
Beyond connecting global stories with existing audiences, we also aim to reach new subscribers and increase engagement through innovative marketing campaigns. By crafting compelling and targeted marketing strategies, we strive to capture the attention of potential members and convert their interest into subscriptions. Additionally, we focus on increasing conversation and excitement about Netflix and our content, creating buzz and anticipation that encourages both current and prospective members to explore and engage with our diverse offerings.
Getting this evidence just right for each title is a tall order; however, we have built tools and processes that utilize technologies like Computer Vision and Machine Learning. We are dedicated to developing innovative tools and processes that leverage technologies like Large Language Models (LLMs), Diffusion Models, and AI Agents. These advancements enable our creators to generate high-quality, engaging content , enhancing storytelling capabilities and streamlining workflows to make a significant impact on how we deliver compelling entertainment to our global audience.
Join us to lead a team that is shaping the future of media and marketing at Netflix. We are seeking a visionary Manager to spearhead our innovative efforts and drive impactful solutions through strategic leadership and technical expertise.

Requirements

• You possess a strong background in AI technologies, with a proven track record of applying LLMs, Diffusion Models, and AI Agents to
• You hold a PhD or Master’s degree in a relevant technical field, with at least 8 years of industry experience in AI and Machine Learning, and at least 2 years of managerial experience demonstrating your expertise and leadership capabilities.
• You stay informed about the latest industry trends and advancements, ensuring that both you and your team remain up-to-date and leverage these insights to maximize the team's impact.
• You are adept at navigating and resolving complex technical challenges, providing clear direction and support to your team.
• You have extensive experience leading diverse teams of machine learning practitioners, inspiring them to achieve excellence and innovation.
• You are flexible and able to adapt to a rapidly changing environment, building teams who can do the same. You embrace risk and are willing to make hard calls and pivot as needed.
• You are a proactive communicator, capable of articulating technical concepts and team achievements to senior leadership and cross-functional partners.
• You enjoy connecting the dots across a variety of groups and problems, fostering collaborative relationships as much as driving deep technical solutions.
• You excel in strategic thinking and have the ability to align technical initiatives with broader business goals.
• You possess an entrepreneurial mindset, adept at balancing risk and reward, with a strong drive to initiate and execute projects that promise significant impact.
• You have a deep passion for technology and its potential to transform media and marketing landscapes.
• The Netflix culture resonates with you.

Nice To Haves

• Publications at peer-reviewed AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR).
• Demonstrated success in fine-tuning LLMs or developing AI-driven content generation solutions.
• Expertise in implementing Retrieval-Augmented Generation (RAG) techniques to enhance AI model performance and content accuracy.
• Proven experience in designing or deploying AI Agents for automation and content synthesis tasks.

Responsibilities

• Lead the development of cutting-edge tools and processes that utilize LLMs, Diffusion Models, and AI Agents to support efficient, high-quality content creation across teams
• Oversee the end-to-end development and deployment of AI-driven models that enhance content creation and promotional strategies.
• Evaluate the impact of solutions, ensuring they exemplify engineering and AI excellence, meet rigorous quality standards, and deliver significant business value.
• Collaborate with cross-functional teams, including creative, engineering, and product management, to ensure alignment of technical initiatives with broader business objectives.
• Hire, inspire, and cultivate a high-performing team of diverse AI professionals, fostering an environment of innovation and excellence while ensuring the team consistently operates at the highest standards.
• Foster a culture of continuous learning and innovation, ensuring the team remains at the forefront of industry advancements.
• Provide strategic guidance to the team, facilitating informed decision-making and overcoming complex technical challenges.
• Communicate team progress and achievements to senior leadership, offering strategic insights and recommendations for future initiatives.

Benefits

• Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits.
• We also offer paid leave of absence programs.
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
• Full-time salaried employees are immediately entitled to flexible time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees