As a Lead Machine Learning Engineer at Disney, you'll drive innovation using state-of-the-art ML models to boost conversions on Hulu, Disney+, and ESPN+. You will improve developer efficiency, develop scalable data analysis methods, build new algorithms, and partner with product teams.  Responsibilities include end-to-end model development, production rollout, continuous optimization, and mentoring team members on ML, prompt engineering, and data analysis.  You'll also define product strategies and lead the team in implementing innovative solutions for the client team. This role requires a deep understanding of ML/AI, proficiency in Python and Javascript, and experience with large-scale data analysis and model development.

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

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 <h4>Job Summary:</h4> 
 <div class="additional-field-value-razor">Lead Machine Learning EngineerAbout the Role &amp; TeamOn any given day at Disney Entertainment and ESPN Product &amp; 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:<ul><li>Building the future of Disney’s media: DEEP&amp;T Technologists are designing and building the infrastructure that will power our media, advertising, and distribution businesses for years to come.</li><li>Reach &amp; 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.</li><li>Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment &amp; news.</li></ul>The Commerce, Growth &amp; 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 &amp; Technology (DEEP&amp;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&amp;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<ul><li>Drive ground-breaking innovation and apply state of the art machine learning models to boost conversions on Hulu, Disney+, and ESPN+.</li><li>Improve developer efficiency by using development data to improve workflows and code quality.</li><li>Develop scalable and efficient methods for large scale data analysis and model development.</li><li>Build and experiment brand new algorithms and models end-to-end through production rollout and continuous optimization.&nbsp;</li><li>Partner with product teams to define product strategies and drive direction.</li><li>Develop new approaches and provide leadership to the organization to invent and implement visions for the client team.</li><li>Mentor team members on machine learning, prompt engineering, and data analysis. </li></ul>Required Qualifications &amp; Skills<ul><li>7+ years of experience in a technical field</li><li>Understanding on ML/AI technologies, mathematics, and statistics.&nbsp;</li><li>Proficient with Python and Javascript.</li></ul>Preferred Qualifications &amp; Skills<ul><li>MS or higher degree in computer science or related field</li><li>4+ years of working experience on machine learning and artificial intelligence at leading internet companies.</li><li>Knowledge of or experience with industry tools like PyTorch, Tensorflow, LangChain, and LlamaIndex.</li><li>Expertise in embeddings, Retrieval-augmented generation (RAG), Reinforcement learning from human feedback (RLHF), prompt engineering, and fine tuning.</li></ul>Education<ul><li>Bachelor’s in Computer Science (or related field) and/or equivalent work experience required</li></ul> 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.</div>
 
 
 
 
 
 
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Lead Machine Learning Engineer