Staff Machine Learning Engineer - Risk

Breeze; Singapore; On-site; SGD 210,000 - 320,000; Full time

Benefits offered by this job

Health coverage

PTO 21 days

Equity

Equipment: MacBook Air

Office & education allowance

Wellness reimbursement

Annual global offsite

Job summary

Breeze is seeking a Staff Machine Learning Engineer, Risk, to lead the evolution of our ML platform for payment risk. You will own model building, training, deployment, and monitoring, partnering with Risk, Software, and Data Engineering.

This senior role reports to the CTO and offers significant ownership in a fast-moving fintech environment. You will design and productionize end-to-end ML workflows, set technical standards, and drive the health of models in production, shaping Breeze's risk

Qualifications

• 8+ years in ML engineering with real production ownership.
• Track record building risk or fraud-adjacent ML systems in payments/fintech.
• Experience with real-time payment-risk systems, including low-latency inference and monitoring.
• Collaborates across engineering and data engineering; senior technical voice.
• Leads with direction, not just execution; adapts in fast-moving environments.
• Builder mentality with bias toward action; embraces AI/automation.
• Detail-oriented and comfortable doing hands-on work at senior level.

Responsibilities

• Design and build ML infrastructure for payment risk detection using Databricks.
• Establish ML environment structure: pipelines, versioning, orchestration, monitoring.
• Productionize models: training, retraining cadence, drift monitoring, deployment.
• Develop reliable, automated ML workflows across the full model lifecycle.
• Set standards for ML design, deployment, and technical direction.
• Maintain healthy production models with low-latency inference and incident response.
• Shape Breeze's risk and ML strategy for the platform.

Skills

ML engineering

Risk ML

Real-time ML

Cross-functional leadership

Senior technical voice

Fast-moving environment

Builder mentality

AI automation

Attention to detail

Tools

Databricks

Job description

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets.

We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record‑like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support.

Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid.

Backed by Sequoia Capital, Multicoin Capital, and The Chainsmokers, Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build.

We are hiring a Staff Machine Learning Engineer, Risk!

As our Staff Machine Learning Engineer, Risk, you'll lead the evolution of our ML platform for payment risk, building the production‑grade capabilities behind feature engineering, model training, deployment, monitoring, and continuous improvement. Risk decisions sit at the center of our business, and you'll own how those models get built, shipped, and kept healthy. This role reports to the CTO.

You’ll work closely with Risk, Software Engineering, and Data Engineering, and you’ll be the senior technical voice for ML on the risk team.

We’re looking for someone who thrives in fast‑moving environments, wants meaningful ownership, and is excited to build rather than simply maintain.

What You'll Do

• Design and build ML infrastructure for payment risk detection, using Databricks as the core platform, in close partnership with software and data engineers.
• Bring structure to the team’s ML environment: feature pipelines, versioning, job orchestration, and monitoring.
• Design and productionize models rather than just prototype them, including training pipelines, retraining cadence, drift monitoring, and deployment.
• Develop reliable, automated, and reproducible ML workflows across the full model lifecycle.
• Set technical standards for how ML gets built and shipped on the risk team, including architecture and technical direction.
• Own the operational health of models in production, from low‑latency inference to monitoring and incident response.
• Help shape the future of risk and ML at Breeze.

What We're Looking For

• 8+ years in ML engineering, with real production ownership rather than research or modeling alone.
• A track record building risk or fraud‑adjacent ML systems, ideally in payments or fintech.
• Experience with real‑time payment‑risk systems, including low‑latency model inference, monitoring, and incident response.
• A strong collaborator across engineering and data engineering — this role sits at that intersection.
• Comfortable being the senior technical voice on a small team, with cross‑functional technical leadership, able to set direction and not just execute.
• Comfortable operating in fast‑moving environments without an established playbook.
• A builder mentality with a strong bias toward action.
• Excited to use AI and automation to work smarter and rethink existing processes.
• Comfortable getting into the details and doing the work, regardless of seniority.

Nice to Have

• Familiarity with payments‑specific risk signals such as chargebacks, dispute networks, and tokenization context.
• Experience establishing ML platform standards and operating models in a growing organization.
• Experience at an early‑stage or high‑growth startup.

Why Breeze

• More than payments: We’re building an intelligent infrastructure layer across payments, compliance, risk, fraud, chargebacks, reconciliation, and customer support.
• AI from the ground up: AI isn’t an add‑on. It’s central to how we’re building our products and how our teams operate.
• Successful and still early: We have meaningful traction and strong financial foundations while remaining early enough for new hires to have outsized impact.
• Built for the long term: Backed by Sequoia Capital, Multicoin Capital, and The Chainsmokers, we’re exceptionally well‑capitalized with the runway to think big.
• Real ownership: Lean teams, few layers, direct access to decision‑makers, and the autonomy to make things happen.
• Hard problems: Work at the intersection of AI, payments, stablecoins, risk, compliance, financial infrastructure, and global commerce.
• Exceptional team: Work with ambitious, curious, low‑ego people who move quickly and care deeply about what they build.
• Room to grow: As Breeze grows, strong performers can quickly expand their scope and take on bigger problems.

How We Work

• Act Now, Improve Later: Ship something real today. Move fast, learn from what happens, and make it better.
• Disagree and Commit: Debate hard before a decision. Once it’s made, commit fully and make the outcome right.
• Customers First: When in doubt, start with what’s most painful for the customer.
• Own It, End to End: Don’t wait to be asked. If you see a problem, take responsibility for solving it.
• Default to Public: Share context openly so the whole team can move faster and learn from each other.
• High Standards, Genuine Warmth: Hold the bar high and treat people well. Be direct, rigorous, kind, and low ego.
• Outcomes Over Activity: We care about what ships, what works, and what moves the needle, not how busy you look.
• AI Forward, Always Learning: Experiment with new tools, automate the repetitive, share what works, and continuously rethink how you can work smarter.

Compensation Philosophy

We believe compensation should be fair, competitive, consistent, and transparent.

• We benchmark compensation against the market and establish thoughtful bands for each role.
• Compensation reflects experience, skills, location, role scope, and expected impact.
• We don’t believe pay should primarily depend on how aggressively someone negotiates.
• Eligible employees receive meaningful equity, so the people building Breeze can participate in the long‑term value they help create.

Benefits & Perks

• Health coverage: Breeze provides an annual stipend and corporate insurance
• PTO: 21 days, plus applicable public holidays.
• Equity: Meaningful ownership in the company you’re helping build.
• Equipment: A new MacBook Air and whatever else you need to do your best work.
• Office & education allowance: An annual budget for your workspace, tools, and professional development.
• Wellness: A monthly reimbursement to support your well‑being.
• Annual global offsite: We bring the global Breeze team together every year. Previous destinations include Bali and Singapore, with Japan coming next.

Location / Working Model

This role is in office and based in Singapore.

We believe there is real value in building together in person. This role is expected to work from our Singapore office 5 days per week.

Come Build With Us

Breeze offers a rare combination: the ownership and speed of an early‑stage company with the traction, backing, and financial foundations of a successful business.

We’re building at the convergence of AI, payments, stablecoins, financial infrastructure, and global commerce. The opportunity is much bigger than building another payment processor.

We’re building the intelligent infrastructure layer for global commerce, and there’s still an enormous amount left to build.

If you want meaningful ownership, hard problems, exceptional teammates, and the opportunity to help define what comes next, we’d love to hear from you.