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Lead Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology is a global organization building and advancing the technological backbone for Disney's media business globally.
$175,800 - $246,400
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
7+ years of experience
AI · Enterprise SaaS · Entertainment

Description For Lead Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology is seeking a Lead Machine Learning Engineer to drive security and operation anomaly detection initiatives within the Commerce, Data, and Identity Alliance. This role offers an exciting opportunity to work with one of the world's leading entertainment companies, developing and deploying machine learning models that enhance security posture across streaming services.

The position involves working with teams across commerce, growth, and identity to implement ML solutions that protect and optimize services. Based out of New York and Santa Monica offices, this role will be instrumental in leading ML initiatives across the team while tackling various security challenges in a streaming organization.

The role combines technical expertise with leadership responsibilities, requiring both deep ML knowledge and the ability to mentor teams. You'll be working on cutting-edge problems in anomaly detection and security, utilizing advanced ML techniques while collaborating with cross-functional teams.

Disney offers a comprehensive compensation package including competitive base salary, bonus potential, and long-term incentives. The position provides exposure to Disney's vast media portfolio including Disney+, Hulu, ESPN, ABC, and ABC News, allowing you to impact products that reach millions globally.

This is an excellent opportunity for an experienced ML professional looking to make a significant impact in the entertainment technology space while working with world-class brands and products. You'll be part of an organization that values innovation, technical excellence, and the ability to translate complex data into actionable insights that drive business decisions.

Last updated a day ago

Responsibilities For Lead Machine Learning Engineer

  • Design, build, and optimize machine learning models that improve security posture
  • Manage full lifecycle of ML development, including data collection and feature engineering
  • Collaborate with engineers to deploy models at scale
  • Lead exploratory analyses and complex statistical modeling
  • Translate complex data into clear and actionable insights
  • Drive data-informed decision-making
  • Collaborate with data teams to improve data infrastructure
  • Mentor and grow a high-performing team of data scientists

Requirements For Lead Machine Learning Engineer

Python
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
  • 7+ years of experience in building, deploying, and evaluating real-world machine learning solutions
  • Proficiency in Python, R, SQL, and other relevant programming languages
  • Experience with data wrangling tools and big data platforms
  • Expertise in ML libraries such as scikit-learn, SciPy
  • Strong foundation in statistics, probability, and data modeling techniques
  • Excellent problem-solving, communication, and collaboration skills

Benefits For Lead Machine Learning Engineer

Medical Insurance
Equity
  • Full range of medical benefits
  • Bonus potential
  • Long-term incentive units

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