Lead Machine Learning Engineer

Disney Entertainment & ESPN Technology
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.
A few reasons why we think you'd love working for Disney Entertainment & ESPN Technology

• Building the future of Disney's media business: DE&E 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.

About The Team & Role
Engineering Services designs, builds, and sustains technology that powers DE&E Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Assurance, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security.
As a Lead Machine Learning Engineer in the Data Platforms team, you will be partnering closely with the Engineering, Architecture, and Product teams to lead development for prediction and optimization engines for our data platforms. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms. If you are someone who is proactive, inquisitive, and innovative, this is a phenomenal role for you!
What You'll Do

• Drive ground-breaking innovation and apply state of the art machine learning statistics and insights in a variety of areas to boost Hulu and Disney in every aspect of data platforms, including engagement forecasting and performance metrics
• Invent and iterate novel solutions to challenging platform related problems in fast turn around
• Develop scalable and efficient methods for large scale data analysis and model development.
• Build and experiment brand new algorithms and models e2e throughout production rollout and continuous optimization.
• Collaborate with engineering teams, program managers, and product managers in an open, and creative environment.
• Mentor team members, and guide their technical development

Basic Qualifications

• BS or MS in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, Mathematics, or comparable field of study
• At least 7 years of working experience on large scale machine learning and statistics in leading internet companies.
• Solid understanding of ML technologies, models, mathematics and statistics.
• Deep understanding of statistical methods
• Proficient with Java, Python, Scala, large scale ML/DL platforms and processing tech stack.
• Passion for technology, open to interdisciplinary work and experience in building data-driven services and applications.
• Proven track record of thriving in a fast-paced, data-driven, collaborative environment is required.

Required Education

• BS or MS in mathematics, economics, computer science, or other technical field

Preferred Qualifications

• Experience with feature store and MLOps
• Experience with Tensorflow, Kubeflow or Sagemaker

The hiring range for this position in Los Angeles, CA & Bristol, CT is $1$164,500-$220,600 per year, in New York City, NY & Seattle, WA is $172,300-$231,100per year, in Bay Area, CA $180,200-$241,600 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.