Senior Machine Learning Engineer

Job Posting Title:
Senior Machine Learning Engineer

Req ID:
10159623

Job Description:

Technology is at the heart of Disney's past, present, and future. 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.


Here are a few reasons why we think you'd love working here:

• Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.

• Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News...and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally.

• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Responsibilities:

• Understanding business objectives and developing models that help to identify and prevent credential stuffing, ATO (account takeover) and other fraud behaviors, along with metrics to track the progress.

• Exploring and visualizing data to gain an understanding of the problems, then identifying differences in data distribution and selecting the suitable ML algorithms.

• Apply machine learning, statistics or data mining to help to be efficient in every aspects of identity security

• Develop scalable and efficient methods for large scale data analysis and model development.

• Defining data augmentation pipelines, training models and tuning their hyperparameters, deploying models to production, monitoring & evaluating the performance of ML models.

• Collaborate with developers, program managers, and product managers in an open, creative environment

Basic Qualifications:

• Bachelor's Degree in Computer Science, EE or other quantitative discipline and a minimum of 5 years of experience

• Experience in large scale machine learning, user behavior analysis, fraud detection in leading internet companies.

• Proficiency with machine learning libraries of scikit-learn, pandas and machine learning frameworks of TensorFlow/Keras or PyTorch.

• Expertise in visualizing and manipulating big datasets.

• Familiarity with Python, Java/Scala.

• Experience in security domain is highly preferred.

• Passion for technology, open to interdisciplinary work, and experience in building data-driven services and applications.

• Excellent written and oral communication skills.

The hiring range for this position in Burbank, CA or New York, NY or Seattle, WA or Bristol, CT is $141,900 - $199,400 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.

Job Posting Segment:
Business Operations

Job Posting Primary Business:
BO - Technology Planning & Operations

Primary Job Posting Category:
Machine Learning

Employment Type:
Full time

Primary City, State, Region, Postal Code:
Glendale, CA, USA

Alternate City, State, Region, Postal Code:
USA - CT - ESPN North Campus - 383 Middle St, USA - NY - 7 Hudson Square, USA - WA - 925 4th Ave

Date Posted:
2026-08-28