Staff Machine Learning Engineer, Fraud Data
Plaid
AirflowPythonPyTorchSpark
Machine Learning Engineer II
The Walt Disney Company
full-time
Posted on:
Location Type: Hybrid
Location: Santa Monica • California, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $114,900 - $154,100 per year
Job Level
Mid-LevelSenior
Tech Stack
JavaKerasPandasPythonPyTorchScalaScikit-LearnTensorflow
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata miningdata analysisdata augmentationmodel developmenthyperparameter tuningfraud detectionuser behavior analysisbig data manipulationstatistics
Soft skills
collaborationcreativitycommunicationproblem-solvinginterdisciplinary workpassion for technology
