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Lead Machine Learning Engineer

Postuler maintenant Postuler ultérieurement Job ID 10115748 Emplacement Santa Monica, Californie, États-Unis / San Francisco, Californie, États-Unis / New York, New York, États-Unis / Seattle, Washington, États-Unis Entreprise Disney Entertainment & ESPN Technology Date de publication 14/03/2025

Résumé du poste:

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.


Sur Disney Entertainment & ESPN Technology:

Disney Entertainment et ESPN Technology (DE&E Technology) constituent l’ossature technologique et le développement de produits pour les deux unités commerciales de Disney dans le domaine des médias, tout en contribuant à maintenir l’entreprise à l’avant-garde de l’innovation, ce qui permet à l’entreprise de tirer continuellement parti de la technologie pour améliorer la narration et la créativité, tout en assurant l’évolutivité, la flexibilité et l’efficacité de ses activités.

Sur The Walt Disney Company:

The Walt Disney Company, ainsi que ses filiales et sociétés affiliées, forme l’une des principales entreprises internationales diversifiées de divertissement familial et de médias. Elle comprend trois secteurs d'activités essentiels : Disney Entertainment, ESPN et Disney Experiences. Depuis ses modestes débuts en tant que studio de dessins animés dans les années 1920 jusqu’à son statut de référence actuel dans le secteur du divertissement, Disney poursuit fièrement sa tradition de création d’histoires et d’expériences exceptionnelles pour tous les membres de la famille. Les histoires, les personnages et les expériences de Disney touchent les consommateurs et les visiteurs du monde entier. À travers nos activités présentes dans plus de 40 pays, nos employés et cast members collaborent pour créer des expériences de divertissement appréciées à la fois au niveau universel et local.

Le poste est rattaché à Disney Streaming Technology LLC , qui fait partie d’une entreprise que nous appelons Disney Entertainment & ESPN Technology.

Disney Streaming Technology LLC est un employeur qui souscrit au principe d’égalité des chances à l’emploi. Les candidat(e)s seront pris(es) en considération pour un emploi sans distinction de race, de religion, de couleur, de sexe, d’orientation sexuelle, de genre, d’identité de genre, d’expression de genre, d’origine nationale, d’ascendance, d’âge, d’état matrimonial, de statut militaire ou d’ancien combattant, d’état de santé, d’informations génétiques ou de handicap, ou de tout autre motif interdit par la loi fédérale, étatique ou locale. Disney défend un environnement commercial où les idées et décisions de tous et toutes nous aident à grandir, innover, créer les meilleures histoires et être pertinents dans un monde en évolution constante.

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