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Senior Machine Learning Engineer (Fraud ML)

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about 3 hours ago
Remote, Canada
Senior
H1B Sponsor

Base Salary

$150k - $200k/yr

Responsibilities

  • Lead development of new fraud prediction models using diverse data approaches.
  • Build and scale feature pipelines and training datasets from various signals.
  • Prototype new modeling ideas and run offline experiments.
  • Integrate models into batch and real-time decision systems.
  • Monitor model and data health, defining retraining workflows.
  • Implement foundational improvements to model-building processes.
  • Collaborate with Engineering, Fraud Analytics, Product, and ML Platform teams.

Requirements

  • 6+ years of experience in researching, training, tuning, and launching ML models.
  • Proven track record of delivering impactful machine learning models in live settings.
  • Strong Python skills with experience in production-quality code.
  • Experience with tabular classification models, preferably using gradient-boosted decision trees.
  • Familiarity with deep learning frameworks, preferably PyTorch.
  • Experience with distributed data processing frameworks like Spark.
  • Knowledge of ML lifecycle tooling for training orchestration and model monitoring.
  • Proficient in using AI-powered developer tools for code quality and iteration.
  • Ability to translate business problems into technical solutions.
  • Strong communication skills for effective collaboration.

Benefits

  • 100% subsidized medical coverage for you and your dependents.
  • Generous stipends for technology, food, lifestyle needs, and family forming expenses.
  • Competitive vacation and holiday schedules.
  • Employee stock purchase plan at a discount.

Tech Stack

Apache AirflowApache SparkLightGBMMLflowPythonPyTorchXGBoost

Categories

AI & MLData Science