Machine Learning Engineer

AI risk platform that helps financial institutions prevent fraud, ensure compliance, and detect money laundering through behavioral analysis and device intelligence.

Series B0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/2/2026

524 Broadway New York, NY 10012, USA, United States
About Sardine

Sardine helps financial institutions prevent fraud and ensure compliance by analyzing user behavior and device intelligence in real-time. Users can detect identity theft, payment fraud, account takeovers, and money laundering while streamlining KYC/AML processes. Sardine provides risk management with AI agents, case management, and regulatory reporting tools.

View jobs by Sardine

Skills

About the Role

Design and operate the systems that make fraud detection possible, working across applied machine learning, data pipelines, and Go-based backend systems to deliver reliable, efficient, scalable solutions for fraud and financial crime prevention.

Requirements

  • 5+ years in software engineering with strong backend experience in Go or Python
  • Hands-on applied ML experience with large datasets, including PyTorch or Scikit-learn
  • Strong SQL skills and familiarity with relational and non-relational databases
  • Experience with end-to-end ML systems, feature pipelines, model deployment, monitoring, and iteration
  • Excellent written and verbal English communication skills
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline

Responsibilities

  • Build and optimize data pipelines and backend services to process device and behavioral data in real time
  • Develop and deploy ML models for fraud detection in production
  • Turn raw data into production-ready features for fraud detection systems
  • Collaborate with platform and backend engineers to integrate models
  • Maintain high standards of security, privacy, and compliance
  • Champion best practices in testing, documentation, and observability

Benefits

  • Equity compensation
  • Early exercise for all options, including pre-vested
  • Remote-first culture
  • Flexible paid time off and year-end break
  • Health, dental, and vision insurance for employees and dependents
  • 4% matching in 401k or RRSP
  • MacBook Pro delivered to your door
  • Home office setup stipend
  • Monthly meal stipend
  • Monthly social meet-up stipend
  • Annual health and wellness stipend
  • Annual learning stipend
Machine Learning Engineer at Sardine | JobStash