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Lead Machine Learning Engineer

Global entertainment and media company that operates streaming services, theme parks, and media networks.
$175,800 - $246,400
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
7+ years of experience
AI · Entertainment

Description For Lead Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology is seeking a Lead Machine Learning Engineer to spearhead security and operation anomaly detection initiatives within their Commerce, Data, and Identity Alliance. This role offers an exciting opportunity to work with one of the world's leading entertainment companies, focusing on 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 sophisticated machine learning solutions. Based in either New York or Santa Monica, this role offers exposure to various security challenges within a streaming organization. The successful candidate will lead ML initiatives across the team, managing the full lifecycle of machine learning development from data collection to production deployment.

The role combines technical expertise with leadership responsibilities, requiring both deep ML knowledge and the ability to mentor team members. You'll be working on critical projects that directly impact the security and operational efficiency of Disney's digital platforms, including Disney+, Hulu, ESPN, and ABC.

The compensation package is highly competitive, with base salary ranges from $175,800 to $246,400 depending on location, plus bonus potential and comprehensive benefits. This is an excellent opportunity for an experienced ML professional looking to make a significant impact at scale while working with cutting-edge technology in the entertainment industry.

The ideal candidate will bring strong technical skills in Python, R, and SQL, along with experience in modern ML libraries and big data platforms. They should be capable of translating complex technical concepts for various stakeholders and have a proven track record of deploying real-world machine learning solutions.

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 and deploying real-world machine learning solutions
  • Proficiency in Python, R, SQL
  • Experience with data wrangling tools and big data platforms
  • Expertise in ML libraries like scikit-learn, SciPy
  • Strong foundation in statistics, probability, and data modeling
  • Excellent problem-solving, communication, and collaboration skills

Benefits For Lead Machine Learning Engineer

Medical Insurance
  • Bonus
  • Medical Benefits
  • Financial Benefits

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