Senior Machine Learning Engineer

Technology is at the heart of Disneys 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 Disneys media business globally.

The team marries technology with creativity to build world-class products enhance storytelling and drive velocity innovation and scalability for our are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Companys 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 youd love working here:

• Building the future of Disneys 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 Disneys technology and products serve as a signature doorway for fans connections with the companys brands and stories. Disney. Hulu. ESPN. ABC. ABC Newsand 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:

• Bachelors Degree in Computer Science EE or other quantitative disciplineand 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.