Senior ML Engineer
ENJOY THE MAGIC
Because our employees and cast members are at the heart of everything we do, Disney offers a competitive total rewards package that includes pay, health and savings benefits, time-off programs, educational opportunities and more.
*Benefits and eligibility may vary by business and location
- HEALTH INSURANCE & WELLBEING
- CHILDCARE OPTIONS
- PAID TIME OFF
- RETIREMENT PROGRAMS
- TUITION ASSISTANCE
- WEEKLY PAY
"There are so many opportunities to grow and learn within Disney! There is never a dull moment at work."
Diana, Principal Counsel
Job Summary:
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.
About The Walt Disney Company (Corporate):
At Disney Corporate you can see how the businesses behind the Company’s powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you’ll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe.
About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Worldwide Services, Inc., which is part of a business we call The Walt Disney Company (Corporate).
Disney Worldwide Services, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.
DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
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Hiring Process
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Explore this Location Seattle, WA
With a thriving food-and-drink scene, eclectic neighborhoods and a stunning coastal setting, Seattle is a dynamic urban enclave nestled in the Pacific Northwest. The city is bounded by Lake Washington in the east and Puget Sound to the west, an ideal location for water recreation and sight-seeing cruises.
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