The Walt Disney Company Logo

The Walt Disney Company

Lead Machine Learning Engineer

Job Posted 11 Days Ago Posted 11 Days Ago
Be an Early Applicant
Hybrid
Santa Monica, CA
168K-246K Annually
Senior level
Hybrid
Santa Monica, CA
168K-246K Annually
Senior level
The Lead Machine Learning Engineer will innovate and apply ML models to enhance platforms like Hulu and Disney+, improve workflows, and mentor team members.
The summary above was generated by AI

Lead Machine Learning Engineer
About the Role & Team
On any given day at Disney Entertainment and ESPN Product & Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming our media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to enhance flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
A few reasons why we think you'd love working here:

  • Building the future of Disney's media: DEEP&T Technologists are designing and building the infrastructure that will power our media, advertising, and distribution businesses for years to come.
  • Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ESPN and ESPN+, and much more.
  • Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.


The Commerce, Growth & Identity (CGI) organization is dedicated to three business-critical areas at Disney that will help transform its media business. We build innovative and cutting-edge capabilities to drive subscriptions, engagement, and monetization across Disney's streaming and digital products. We enable the wide range of Disney brands to connect and engage with consumers through a unified identity, powered by shared services that are trustworthy and seamless to integrate with.
The Disney Entertainment and ESPN Product & Technology (DEEP&T) Commerce, Growth and Identity Client Engineering organization delivers experiences across Disney+, Hulu, ESPN+, and Star+ built on a common platform and shared technology. We are fast-paced and fast-growing organization that shares knowledge and code for initiatives throughout Disney! Our mission: Building inclusive user-centered experiences that welcome users, guiding them through a seamless journey from login to sign up, and facilitating effortless account management. As a member on DEEP&T Web Commerce team you'll build the core sign-up, purchase, and subscription management experiences of our Web platform.
You will serve as a high level technical resource and "go-to" person, solving sophisticated technical challenges and finding opportunities to improve systems, products, and services!
What You Will Do

  • Drive ground-breaking innovation and apply state of the art machine learning models to boost conversions on Hulu, Disney+, and ESPN+.
  • Improve developer efficiency by using development data to improve workflows and code quality.
  • Develop scalable and efficient methods for large scale data analysis and model development.
  • Build and experiment brand new algorithms and models end-to-end through production rollout and continuous optimization.
  • Partner with product teams to define product strategies and drive direction.
  • Develop new approaches and provide leadership to the organization to invent and implement visions for the client team.
  • Mentor team members on machine learning, prompt engineering, and data analysis.


Required Qualifications & Skills

  • 7+ years of experience in a technical field
  • Understanding on ML/AI technologies, mathematics, and statistics.
  • Proficient with Python and Javascript.


Preferred Qualifications & Skills

  • MS or higher degree in computer science or related field
  • 4+ years of working experience on machine learning and artificial intelligence at leading internet companies.
  • Knowledge of or experience with industry tools like PyTorch, Tensorflow, LangChain, and LlamaIndex.
  • Expertise in embeddings, Retrieval-augmented generation (RAG), Reinforcement learning from human feedback (RLHF), prompt engineering, and fine tuning.


Education

  • Bachelor's in Computer Science (or related field) and/or equivalent work experience required


The hiring range for this position in Los Angeles, CA is $167,700 to $224,900 per year, is $175,800 to $235,700 per year in Seattle, WA is $183,700 to $246,400 per year in San Francisco, CA and is $175,800 to $235,700 per year in New York City, NY. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Top Skills

JavaScript
Langchain
Llamaindex
Python
PyTorch
TensorFlow

The Walt Disney Company San Francisco, California, USA Office

The Bay Area is center stage for Disney Pixar, Lucasfilm Ltd. and more. Our technologists are in the heart of Silicon Valley and spearheading our movies, shows and more that are out of this world.

Similar Jobs at The Walt Disney Company

Yesterday
Hybrid
Santa Monica, CA, USA
168K-246K Annually
Senior level
168K-246K Annually
Senior level
AdTech • Digital Media • News + Entertainment
Lead innovative machine learning projects to enhance conversion rates on streaming platforms. Collaborate with teams, mentor members, and improve workflows.
Top Skills: JavaScriptLangchainLlamaindexPythonPyTorchTensorFlow
9 Days Ago
Hybrid
San Francisco, CA, USA
168K-246K Annually
Senior level
168K-246K Annually
Senior level
AdTech • Digital Media • News + Entertainment
Lead the research, development, implementation, and optimization of recommendation and personalization algorithms. Oversee the maintenance of ML algorithms in production, develop ETL pipelines, and collaborate with product teams to explore new ML opportunities.
13 Days Ago
Hybrid
Santa Monica, CA, USA
168K-246K Annually
Senior level
168K-246K Annually
Senior level
AdTech • Digital Media • News + Entertainment
Lead the development of machine learning models to enhance subscription services at Disney+, Hulu, and ESPN+. Drive technical innovation, mentor team members, and collaborate with product teams.
Top Skills: JavaScriptLangchainLlamaindexPythonPyTorchTensorFlow

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account