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← Breeze

Staff Machine Learning Engineer - Risk

Breeze
Location
Singapore
Posted
19 days ago
Department
Engineering
What they actually want (must-haves)
  • 8+ years in ML engineering with production ownership
  • Experience building risk or fraud-related ML systems in payments or fintech
  • Experience with real-time payment-risk systems including low-latency model inference
  • Strong collaboration skills across engineering and data engineering
  • Ability to provide technical leadership on a small team
  • Comfortable in fast-moving environments without established playbooks
Nice to have
  • Familiarity with payments-specific risk signals such as chargebacks and tokenization
  • Experience establishing ML platform standards in a growing organization
  • Experience in an early-stage or high-growth startup
What the job really is

As a Staff Machine Learning Engineer focused on risk at Breeze, you will lead the development of machine learning infrastructure for payment risk detection. Your responsibilities include designing and building production-grade models, managing the full lifecycle of ML workflows, and ensuring the operational health of models in production. You will collaborate closely with software and data engineers while setting technical standards for the risk team.

Benefits
  • Medical allowance for health and wellness expenses
  • Corporate medical insurance for full-time employees
  • Monthly subsidy for fitness and wellness memberships
  • Annual productivity budget for professional development and home-office improvements
  • Equity ownership in the company
  • Provision of a new MacBook Air and necessary equipment
Things to weigh
  • No salary listed
  • In-office expectations require working on-site five days per week in Singapore
  • Role involves significant ownership and responsibility in a fast-paced environment
Job score3.6/5
Benefits4/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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