The Walt Disney Company (France)
Lead Machine Learning Engineer
The Walt Disney Company (France), Glendale, California, us, 91222
Overview
Disney Entertainment and ESPN Product & Technology
is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Role summary:
Disney Entertainment and ESPN Product & Technology team is looking for a passionate
Lead Machine Learning Engineer
to drive the security and operation anomaly detection initiatives within the
Commerce, Data,
and Identity Alliance. We’re seeking experienced ML engineers to lead on developing and deploying machine learning models that help reduce the security and operation risk for our services. In this role, you’ll work with teams across commerce, growth, and identity to leverage machine learning solutions that enhance the security posture of our services. This team is based out of the New York and the Santa Monica offices, and you will be a key leader helping drive the ML initiatives across the team. You will have an opportunity to learn about the various security challenges of a streaming organization. Responsibilities
Design, build, and optimize machine learning models that improve our security posture. Manage the full lifecycle of ML development, including data collection, feature engineering, model selection, evaluation, and production. Collaborate with engineers to deploy models at scale, ensuring robust A/B testing frameworks to assess the impact on key business metrics. Lead exploratory analyses and complex statistical modeling to deliver actionable insights that inform high-stakes business decisions. Translate complex data into clear and actionable insights through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders. Drive data-informed decision-making by presenting findings that highlight security implications. Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities. Mentor and grow a high-performing team of data scientists, creating an environment that encourages learning and innovation. Minimum Qualifications
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master’s degree or PhD is a plus. 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 (e.g., Pandas, NumPy), databases (e.g., MySQL, PostgreSQL), and big data platforms (e.g., Spark, Databricks, Jupyter, Snowflake, Airflow, GitHub). Expertise in ML libraries such as scikit-learn, SciPy, and related technologies. Strong foundation in statistics, probability, and data modeling techniques. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications
Experience working with Amazon Web Services. Experience with Tableau, Power BI, or similar platforms. Experience building anomaly detection models. Knowledge of software security. The hiring range for this position in Los Angeles is $202,900 to $272,100 per year, in San Francisco is $222,200 to $297,900 per year, and in New York or Seattle is $212,600 to $285,100 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.
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Disney Entertainment and ESPN Product & Technology
is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Role summary:
Disney Entertainment and ESPN Product & Technology team is looking for a passionate
Lead Machine Learning Engineer
to drive the security and operation anomaly detection initiatives within the
Commerce, Data,
and Identity Alliance. We’re seeking experienced ML engineers to lead on developing and deploying machine learning models that help reduce the security and operation risk for our services. In this role, you’ll work with teams across commerce, growth, and identity to leverage machine learning solutions that enhance the security posture of our services. This team is based out of the New York and the Santa Monica offices, and you will be a key leader helping drive the ML initiatives across the team. You will have an opportunity to learn about the various security challenges of a streaming organization. Responsibilities
Design, build, and optimize machine learning models that improve our security posture. Manage the full lifecycle of ML development, including data collection, feature engineering, model selection, evaluation, and production. Collaborate with engineers to deploy models at scale, ensuring robust A/B testing frameworks to assess the impact on key business metrics. Lead exploratory analyses and complex statistical modeling to deliver actionable insights that inform high-stakes business decisions. Translate complex data into clear and actionable insights through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders. Drive data-informed decision-making by presenting findings that highlight security implications. Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities. Mentor and grow a high-performing team of data scientists, creating an environment that encourages learning and innovation. Minimum Qualifications
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master’s degree or PhD is a plus. 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 (e.g., Pandas, NumPy), databases (e.g., MySQL, PostgreSQL), and big data platforms (e.g., Spark, Databricks, Jupyter, Snowflake, Airflow, GitHub). Expertise in ML libraries such as scikit-learn, SciPy, and related technologies. Strong foundation in statistics, probability, and data modeling techniques. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications
Experience working with Amazon Web Services. Experience with Tableau, Power BI, or similar platforms. Experience building anomaly detection models. Knowledge of software security. The hiring range for this position in Los Angeles is $202,900 to $272,100 per year, in San Francisco is $222,200 to $297,900 per year, and in New York or Seattle is $212,600 to $285,100 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.
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