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Manager, Machine Learning Engineering

5 hours, 24 minutes ago
United States
Full-time
Lead
Engineering Manager
Software Development
Deep Learning Machine Learning
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Diversified Financial Services
1K-5K
Founded 2012
View All Jobs 166

Description

  • Set the technical and modeling strategy for fraud detection, aligned to fraud loss reduction, approval rates, and customer experience.
  • Lead a team of machine learning engineers to design, build, and iterate on fraud models across the full ML lifecycle.
  • Drive experimentation, production deployment, and monitoring of fraud models in a rapidly evolving adversarial environment.
  • Advance modeling approaches by adopting representation learning, transformer-based methods, and other advanced techniques for behavioral data.
  • Partner with Product, Fraud Analytics, Risk, and Engineering to define solutions and evaluate trade-offs.
  • Ensure models are effectively integrated into decisioning systems.
  • Coach engineers, provide feedback, and develop a high-performing team culture grounded in technical excellence and ownership.

Requirements

  • Bachelor’s degree in a technical field or equivalent practical experience.
  • 8+ years of industry experience.
  • 3+ years of experience managing engineers.
  • Experience with modern ML approaches such as representation learning, deep learning, or transformer-based models.
  • Experience with traditional methods such as gradient-boosted trees.
  • Proven ability to lead teams delivering end-to-end ML solutions in production environments.
  • Experience with experimentation, evaluation, and model iteration in production.
  • Strong engineering fundamentals and experience with scalable systems and data pipelines.
  • Track record of effective cross-functional collaboration with product, analytics, and engineering partners.
  • Ability to operate in ambiguous, fast-evolving environments and drive clarity, prioritization, and execution.

Benefits

  • Remote-first work environment with the ability to work almost anywhere within the country of employment.
  • Base salary range of $225,000-$275,000 for CA, WA, NY, NJ, and CT, or $200,000-$250,000 for all other U.S. states.
  • Equity rewards as part of total compensation.
  • Monthly stipends for health, wellness, and tech spending.
  • 100% subsidized medical coverage for employees and dependents.
  • Dental and vision coverage for employees and dependents.
  • Flexible Spending Wallets for technology, food, lifestyle needs, and family-forming expenses.
  • Competitive vacation and holiday schedules.
  • Employee Stock Purchase Plan with discounted shares.

Interested in this position?

Apply directly on the company website

Apply Now

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