Machine Learning Engineer developing models to enhance identity security for Disney's media business. Collaborating with teams to build scalable and efficient methods for large scale data analysis.
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.
Requirements
Bachelors in computer science, EE or other quantitative discipline and a minimum of 3 years of experience OR MS, or PHD degree in computer science, EE or other quantitative and a minimum of 1 year 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.
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits, dependent on the level and position offered
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