Lead Machine Learning Engineer
Jetzt bewerben Später bewerben Job ID 10115748 Standort Santa Monica, Kalifornien, USA / San Francisco, Kalifornien, USA / New York City, New York, USA / Seattle, Washington, USA Veröffentlichungsdatum 14/03/2025 Unternehmen Disney Entertainment & ESPN TechnologyJob-Zusammenfassung:
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.
Über Disney Entertainment & ESPN Technology:
Disney Entertainment und ESPN Technology (DE&E Technology) bildet das technologische Rückgrat und die Produktentwicklung für die beiden Medienbereiche von Disney und trägt dazu bei, das Unternehmen an der Spitze der Innovation zu halten. So die Technologie kontinuierlich genutzt werden, um das Erzählen von Geschichten und die Kreativität zu verbessern und gleichzeitig Skalierbarkeit, Flexibilität und Effizienz für seine Geschäftsbereiche zu bieten.
Über The Walt Disney Company:
Die Walt Disney Company ist zusammen mit ihren Tochtergesellschaften und verbundenen Unternehmen ein führendes, diversifiziertes internationales Familienunterhaltungs- und Medienunternehmen mit folgenden Geschäftsbereichen: Disney Entertainment, ESPN sowie Disney Experiences. Von seinen bescheidenen Anfängen als Zeichentrickfilmstudio in den 1920er Jahren bis zu seiner aktuellen Vorreiterrolle in der Unterhaltungsindustrie trägt Disney stolz sein Erbe weiter und bietet Geschichten und Erlebnisse von Weltklasse, die alle Familienmitglieder bezaubern. Disneys Geschichten, Figuren und Abenteuer erreichen Verbraucher und Gäste aus allen Teilen der Welt. Gemeinsam schaffen unsere Mitarbeiter und Darsteller aus Niederlassungen in über 40 Ländern der Welt Unterhaltungserlebnisse, die sowohl auf globaler Ebene als auch im heimischen Umfeld begeistern.
Diese Position ist bei Disney Streaming Technology LLC, das Teil eines Geschäftssegments ist, das wir Disney Entertainment & ESPN Technology nennen.
Disney Streaming Technology LLC bietet als Arbeitgeber Chancengleichheit. Die Beurteilung der Möglichkeit der Beschäftigung von Bewerbern erfolgt unabhängig von ethnischer Zugehörigkeit, Religion, Hautfarbe, Geschlecht, sexueller Orientierung, Geschlechtsidentität, Geschlechtsausdruck, nationaler Herkunft, Abstammung, Alter, Familienstand, militärischem Status oder Veteranenstatus, Gesundheitszustand, genetischen Informationen oder einer Behinderung, oder anderer gemäß Bundes-, Landes- oder örtlichem Gesetz verbotener Merkmale. Disney fördert eine Unternehmenskultur, in der Ideen und Entscheidungen aller Personen uns dabei helfen, zu wachsen, innovativ zu sein, die besten Geschichten zu schreiben und in einer sich ständig weiterentwickelnden Welt von Bedeutung zu sein.