Sardine

Machine Learning Engineer

North America, Remote. Posted 14 months ago

The role

You will build and own model serving infrastructure, real-time inference, and feature retrieval. You will also build deployment paths for data scientists and own models in production.

What you will do

  • Build and own the model serving infrastructure, real-time inference, feature retrieval, and the latency budget
  • Build the deployment path for data scientists to ship models
  • Own models in production including monitoring, drift detection, retraining, incident response, and on-call rotation
  • Build and optimise pipelines that turn raw signals into production-ready features
  • Work across Python and Go backend to keep inference fast
  • Build models yourself for roughly 20% of the role
  • Champion testing, observability, security and compliance

Required qualifications

  • Experience building model serving infrastructure
  • Production ownership of ML systems
  • Strong Python
  • Solid software engineering fundamentals, testing, code review, CI/CD
  • Comfort with Kubernetes, containers and a major cloud (mostly GCP)
  • Infrastructure-as-code
  • Understanding of models to debug them
  • Experience building tooling other engineers or data scientists use

Nice to have

  • Domain knowledge in fraud, risk, or cybersecurity
  • Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework
  • Understanding of modern browser APIs and high-entropy data collection techniques
  • Familiarity with leveraging frontier LLMs for automation

Benefits

  • Generous compensation in cash and equity
  • Early exercise for all options, including pre-vested
  • Remote-first Culture
  • Flexible paid time off and Year-end break
  • Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
  • 4% matching in 401k / RRSP - US and Canada specific
  • MacBook Pro delivered to your door
  • One-time stipend to set up a home office
  • Monthly meal stipend
  • Monthly social meet-up stipend
  • Annual health and wellness stipend
  • Annual Learning stipend

Before you apply

  • You'll need to keep a home base in the country you're hired in

About the company

Sardine is the leading agentic risk platform for fighting financial crime. Their 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.

Machine Learning Engineer at Sardine | JobZoey