Principal Machine Learning Engineer

Disney - Santa Monica, CA

Full-time - Principal

Santa Monica, CA

Motion Picture and Sound Recording Industries

About the position

As a Principal Machine Learning Engineer at Disney Entertainment & ESPN Technology, you will play a pivotal role in developing machine learning models that enhance user personalization and tackle challenges such as fraud detection and account sharing. This position involves close collaboration with engineering, architecture, and product teams to create innovative solutions that impact major platforms like Disney+, Hulu, and ESPN. You will be part of a dynamic team focused on building the future of Disney's media business through advanced data analytics and modeling techniques.

Responsibilities

• Design, build and improve machine learning models.
• Collaborate with engineering to produce models and drive experimentation to test impact of model-based optimization.
• Develop a comprehensive understanding of audience, brand, and asset data structures.
• Mine large data sets to identify opportunities for driving engagement and performance.
• Develop prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights.
• Partner closely with stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities.

Requirements

• 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.

Nice-to-haves

• 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.

Benefits

• Health insurance
• Childcare options
• Paid time off
• Retirement programs
• Tuition assistance
• Weekly pay