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Lead Machine Learning Engineer

Postuler maintenant Postuler ultérieurement Job ID 10100856 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 09/10/2024

Résumé du poste:

Disney Entertainment & ESPN Technology

On any given day at Disney Entertainment & ESPN Technology, we are reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that is evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize 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 would love working for Disney Entertainment & ESPN Technology

  • Building the future of Disney’s media business: DE&E (Disney Entertainment & ESPN) Technologists are designing and building the infrastructure that will power Disney’s 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 ABC News and Entertainment, to ESPN and ESPN+, and much more.
  • Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

The vision of the Machine Learning (ML) Engineering team at Disney is to drive and enable ML usage across several domains in heterogeneous language environments and at all stages of a project’s life cycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment.  The team is invested in continual innovation on the ML infrastructure itself to carefully orchestrate a continuous cycle of learning, inference, and observation while also maintaining high system availability and reliability. We seek to maximize the positive business impact of all ML at Disney streaming by supporting key product functions like personalization and recommendation, fraud and abuse prevention, capacity planning, subscriber growth and lifecycle intelligence, and so on.

In this role You will be expected to lead recommendation and personalization algorithm research, development, implementation, and optimization for product areas, and work on event and context processors to federate data, infrastructure and tooling to enable event-driven ML pipelines. You will own and expand part of our central feature store that powers ML use cases in domains like recommendations, search and fraud. You will work on cross-functional projects and push the envelope on data and ML infrastructure.

What You Will Do

  • Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to deploy and develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams
  • Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets
  • Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards
  • Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis

What You Will Bring

Basic Qualifications

  • 7+ years of relevant experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience
  • 7+ years of experience writing production-level, scalable code (e.g. Python, Scala)
  • 5+ years of experience developing algorithms for deployment to production systems
  • In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings
  • Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark
  • Strong written and verbal communication skills

Preferred Qualifications

  • MS or PhD in statistics, math, computer science, or related quantitative field
  • Production experience with developing content recommendation algorithms at scale
  • Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
  • Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate
  • Familiar with metadata management, data lineage, and principles of data governance
  • Experience loading and querying cloud-hosted databases
  • Building streaming data pipelines using Kafka, Spark, or Flink
  • Experience with: AWS, Docker, Airflow, Databricks

Required Education  

  • Bachelor’s Degree in Computer Science, Mathematics, Statistics, or related quantitative field or comparable field of study, and/or equivalent work experience.

#DISNEYTECH


The hiring range for this position in Santa Monica, California is $164,500 - 220,600 per year and in San Francisco, California is $180,200 - $241,600 per year. The hiring range for this position in New York and Seattle, Washington is $172,300 - $231,100 per year. 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.

Informations Supplémentaires:

DISNEYTECH



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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