Senior ML Engineer
Postuler maintenant Postuler ultérieurement Job ID 10097074 Emplacement Seattle, Washington, États-Unis Entreprise The Walt Disney Company (Corporate) Date de publication 12/09/2024Résumé du poste:
At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.
The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.
The Enterprise Cloud Data & Analytics team is part of the Cloud Data and Transformation Engineering team. The team’s primary function is to provide curated datasets to support business decisions and to help provide insights for the TWDC enterprise cloud spend and usage. Processes supported include monthly supplier invoice validation, monthly internal chargeback, forecasting, cost optimization, etc.
We apply best data engineering and business intelligence practices to data sources to generate business insights in the form of curated data. We also maintain the data system that supports secure, on-demand consumption of data by our internal consumers.
What You Will Do
Build ML Models
Build data pipelines, cleanse data, train models and inference predictive models to forecast.
Work closely with Product, Stakeholders, engineering groups to understand requirements and build hypothesis.
Run experiments to prove hypothesis or create PoCs for different ML use cases.
Work with different algorithms and ML problem domains such as Forecasting, NLP, LLM, Regression and Classification.
Present results of experiments in a consumable fashion write ups/PPTs to VPs and other executives.
Monitor model performance and retrain models where necessary.
Follow MLOps best practices.
Responsibilities:
Experience with frameworks and libraries for machine learning & AI such as scikit-learn PyTorch, Tensorflow/Keras, MLlib, etc.
Develop and maintain automated data solutions that ingest, transform and generate insights in the form of curated datasets.
Experience in building, deploying and managing forecasting models for time series datasets.
Experience with building batch and streaming pipelines using complex SQL, PySpark, and similar frameworks
Support and maintain the shared consumer data platform with regard to data organization, access, security and role appropriate access.
Analyze and model data to design data solutions that provide business insights.
Recognizing patterns and opportunities to consolidate implementations and/or create standards
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way.
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Have a growth mindset and a desire to learn
Mentor team members by giving them actionable feedback
Be proactive and have initiative
Provide clear and concise communication to technical and non-technical audiences
Preferred Qualifications:
A minimum of 5 years of related work experience
Experience in running high quality data pipelines
Experience in Python, SQL, ETL, Data Analysis and data modeling and designing a data architecture.
Experience in Databricks, and building, managing and optimizing Spark jobs
Experience in AWS and Azure Cloud
Nice To Haves:
Databricks certification
Understanding of Financial operations and Finops
Good understanding of Large Language Models (LLMs).
Education:
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
The hiring range for this position in Seattle, WA is $142,600 to $191,100. 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 The Walt Disney Company (Corporate):
Chez Disney Corporate, vous verrez comment les secteurs d’activités qui animent les marques puissantes de la société se rassemblent pour former la société de divertissement la plus novatrice, développée et admirée au monde. En tant que membre d’une équipe d’entreprise, vous travaillerez avec les leaders de classe mondiale qui mettent au point les stratégies qui permettent à The Walt Disney Company de rester à la pointe du divertissement. Collaborez avec d’autres penseurs novateurs pour permettre aux meilleurs conteurs de créer des souvenirs pour des millions de familles du monde entier.
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 Worldwide Services, Inc. , qui fait partie d’une entreprise que nous appelons The Walt Disney Company (Corporate).
Disney Worldwide Services, Inc. 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.