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Senior Machine Learning Engineer I // II

1 month, 1 week ago
United States
Full-time
Senior
Machine Learning Engineer
Data Science and Analytics
Apache Spark Feature Engineering Machine Learning MLOps Python SQL
Apply Now
Signifyd

Signifyd

Signifyd provides comprehensive ecommerce fraud protection services, including revenue protection, abuse prevention, and payment compliance, with a financial guarantee for online retailers to grow confidently and securely.

IT Services
251-1K
Founded 2011
$407M raised
View All Jobs 9

Description

  • Build, maintain, and monitor production machine learning models and offline experimentation frameworks for fraud detection.
  • Own the end-to-end lifecycle of high-impact ML projects from offline experimentation through deployment to production.
  • Identify, prototype, and integrate new ML technologies and infrastructure to improve fraud detection effectiveness and scalability.
  • Design and implement ML pipeline components that support rapid experimentation and innovation.
  • Collaborate with Product, Engineering, and Risk teams to turn business needs into technical ML solutions.
  • Contribute novel modeling methods, advanced feature engineering, and robust statistical practices in partnership with Platform Engineering.
  • Improve model performance, experimentation processes, and the reliability of fraud detection systems.
  • Champion best practices in testing, documentation, model monitoring, and development to raise technical standards.

Requirements

  • Bachelor’s degree in Computer Science, Statistics, or a comparable quantitative field.
  • 4-6+ years of post-undergraduate experience in a production-grade machine learning environment.
  • Strong foundation in machine learning theory and statistical evaluation.
  • Experience with supervised and unsupervised learning at scale.
  • Proven track record of taking ML projects from research or prototype to high-scale production environments.
  • Ability to communicate technical findings clearly to technical and non-technical stakeholders.
  • Proficiency in Python, SQL, key ML libraries, and Spark.
  • Strong outcome-oriented mindset focused on business impact.
  • Attention to detail is critical; candidates must start the first application question response with the word “Stochastic.”
  • Previous experience in fraud, fintech, payments, or e-commerce is preferred.
  • Passion for writing well-tested production-grade code is preferred.
  • Master’s degree or PhD is preferred.

Benefits

  • Discretionary time off policy with unlimited PTO.
  • 401(k) match.
  • Stock options, including an eligible grant of 4,000 options.
  • Annual performance bonus or commissions, up to 10% of base salary.
  • Paid parental leave for 12 weeks.
  • On-demand therapy for employees and dependents.
  • Dedicated learning budget through Learnerbly.
  • Health, dental, and vision insurance, plus FSA, short-term and long-term disability, and life insurance.

Interested in this position?

Apply directly on the company website

Apply Now

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