or apply directly on Breeze's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days Breeze's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 35% of Breeze's roles list one
- Ghost-job risk at Breeze
- high 10 stale, 0 reposted of 17 open
- Hiring momentum
- 25 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Breeze's own greenhouse board since 2026-08-03. Full hiring picture for Breeze.
About this role
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
- 4/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Breeze as an employer.
What you need
- 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 you get
- 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
Worth weighing
- 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
Summarised from Breeze's posting. Read the full original.
Listed by Breeze on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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