Sardine

Sardine

Machine Learning Engineer

North America

Sponsorship not specifiedDetected 317 days ago
PythonGoBackend DevelopmentSQLDockerKubernetesCI/CDDevOpsMachine LearningPyTorchscikit-learnData EngineeringLLMsSystems EngineeringCommunication

About the role

  • You'll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale.
  • This is a chance to combine applied ML with large-scale systems engineering, owning end-to-end solutions that tackle high-stakes, ever-evolving challenges.

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, ensuring they run reliably and efficiently in production.
  • Collaborate with platform and backend engineers to integrate models seamlessly.
  • Maintain high standards of security, privacy, and compliance.

Requirements

  • 5+ years in software engineering, with strong backend experience (Go or Python).
  • Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.).
  • Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration.
  • Bachelor's or Master's in Computer Science, Engineering, or a related discipline.
  • Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework.
  • Familiarity with leveraging frontier LLMs for automation.
  • If you are seeking a meaningful career, you found the right place, and we would love to hear from you.

Compensation

  • Generous compensation in cash and equity

Benefits

  • Generous compensation in cash and equity
  • Flexible paid time off and Year-end break
  • Health insurance, dental, and vision coverage for employees and dependents
  • One-time stipend to set up a home office - desk, chair, screen, etc.
  • Monthly meal stipend
  • Monthly social meet-up stipend
  • Annual health and wellness stipend
  • Annual Learning stipend
  • As a Machine Learning Engineer, you'll do more than build models - you'll design the systems that make fraud detection possible.

Company info

  • Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine's platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products.
  • Our culture:
  • We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere
  • We hire talented, self-motivated individuals with extreme ownership and high growth orientation.
  • We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.
  • Sardine is the leading agentic risk platform for fighting financial crime.
  • Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations.
  • Sardine's platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide.
  • Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products.
  • Remote - United States or Canada
  • From Home / Beach / Mountain / Cafe / Anywhere!
  • We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.
  • About The Role
  • What you'll be doing:
  • Turn raw data into production-ready features that feed our fraud detection systems.
  • Champion best practices in testing, documentation, and observability.
  • What you'll need:
  • Strong SQL skills and familiarity with relational and non-relational databases.
  • Excellent communication skills in English, both written and verbal.
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This listing is sourced directly from Sardine's careers page and normalized into a canonical job model.