Overview
On Site
USD 199,000.00 - 266,800.00 per year
Full Time
Skills
A/B testing
Machine Learning (ML)
Data engineering
Content marketing
Statistics
Thought leadership
Data collection
Data structure
Data modeling
Data Visualization
Data architecture
Computer science
Information systems
Electronic engineering
Analytical skill
scikit-learn
Project management
Media
Streaming
Advertising
Distribution
Innovation
Android
Messaging
Data
IMPACT
Modeling
Management
Estimating
Inventory
Forecasting
Design
Algorithms
Visualization
Collaboration
Optimization
Brand
Analytics
Leadership
Partnership
Electrical engineering
Python
Databricks
Jupyter
Snow flake schema
GitHub
Communication
Recruiting
LOS
Finance
Job Details
On any given day at Disney Entertainment & ESPN Technology, we're 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's 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.
The Product & Data Engineering team is responsible for end to end development for Disney's world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across Apple, Android, Smart TVs, game consoles, and the web, with our platforms powering core experiences like personalization, search, messaging and data.
Job Summary:
Describe what the person will do in the role - how he/she will impact the organization.ML Engineers at Disney are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Data Engineers in Machine Learning on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.
As a Principal ML Engineer in the Data Platforms team, you will be partnering closely with the Engineering, Architecture, and Product teams to develop models for tackling a multitude of exciting challenges, including asset lifetime value estimation, platform performance, inventory reliability, forecasting, and more. We look for someone with deep analytical and modeling expertise, a proven track record of thought leadership and eagerness to drive impact.
Responsibilities
Basic Qualifications
Preferred Qualifications
#DISNEYTECH
The hiring range for this position in Los Angeles, CA and in Bristol, CT is $199,000 to $266,800 per year and in New York and Seattle, WA is $208, 400 to $279, 500, in Bay Area is $217,900- $292,200 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.
The Product & Data Engineering team is responsible for end to end development for Disney's world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across Apple, Android, Smart TVs, game consoles, and the web, with our platforms powering core experiences like personalization, search, messaging and data.
Job Summary:
Describe what the person will do in the role - how he/she will impact the organization.ML Engineers at Disney are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Data Engineers in Machine Learning on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.
As a Principal ML Engineer in the Data Platforms team, you will be partnering closely with the Engineering, Architecture, and Product teams to develop models for tackling a multitude of exciting challenges, including asset lifetime value estimation, platform performance, inventory reliability, forecasting, and more. We look for someone with deep analytical and modeling expertise, a proven track record of thought leadership and eagerness to drive impact.
Responsibilities
- Modeling: Design, build and improve machine learning models. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results. Collaborate with engineering to productionize models. Drive experimentation to test impact of model-based optimization.
- Deep analysis: Develop comprehensive understanding of audience, brand and asset data structures. Mine large data sets to identify opportunities for driving engagement and performance
- Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually.
- Partnership: Partner closely with stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.
Basic Qualifications
- Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
- Minimum of 10 years of experience designing, building, deploying data pipelines and applications
- Proven experience building machine learning solutions
- Excellent analytical skills, advanced level of statistics knowledge
- Strong expertise with Python and libraries such as scikit-learn, SciPy
- Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, Github
- Familiarity with designing and analyzing A/B testing and other experiment types
- Ability to adapt quickly in a fast-moving environment with shifting priorities
- Strong communication skills, for both technical and non-technical audiences
- Ability to handle multiple tasks concurrently and in a timely manner, including large and complex ones
- Demonstrated leadership experience, including people and project management
Preferred Qualifications
- Master's or Ph.D degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
#DISNEYTECH
The hiring range for this position in Los Angeles, CA and in Bristol, CT is $199,000 to $266,800 per year and in New York and Seattle, WA is $208, 400 to $279, 500, in Bay Area is $217,900- $292,200 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.