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Jobs(26,955)/Machine Learning Engineer Role(346)/Breeze (5) - Staff Machine Learning Engineer
Breeze

Breeze - Staff Machine Learning Engineer

Singapore+ Equity3w ago
In OfficeStaffAPACFintechPaymentsMachine Learning EngineerTeam LeadershipDatabricksClose

Requirements

• 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. • 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.

Responsibilities

• 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.

Benefits

• We believe compensation should be fair, competitive, consistent, and transparent. We benchmark compensation against the market and establish thoughtful bands for each role, with compensation reflecting 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. • Medical allowance: An annual allowance, prorated based on your start date, to support eligible health and wellness expenses, including health screenings, dental and vision care, insurance premiums, and eligible expenses for direct family members. • Corporate medical insurance: Medical coverage for full-time employees in our Singapore office, including cashless GP visits at panel clinics, specialist outpatient care with GP referral, and teleconsultations. • Gym & wellness: A monthly subsidy toward eligible fitness and wellness memberships, classes, and activities. • Productivity budget: An annual budget, prorated based on your start date, for professional development, productivity tools, books, courses, and eligible home-office improvements. • 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. • Annual global offsite: We bring the global Breeze team together every year. Previous destinations include Bali and Singapore, with Japan coming next. • Benefits, allowances, and reimbursements are subject to applicable eligibility requirements, taxes, and statutory contributions. Benefits are not contractual and may be amended from time to time. • Make an outsized impact: We're successful and still early, with meaningful traction and strong financial foundations. Lean teams, few layers, and direct access to decision-makers mean you'll have real ownership and the autonomy to make things happen. • Make an outsized impact: • Solve hard, meaningful problems: Work at the intersection of AI, payments, stablecoins, risk, compliance, financial infrastructure, and global commerce as we build an intelligent infrastructure layer that goes far beyond payments. • Solve hard, meaningful problems: • Build AI-first: AI isn't an add-on. It's central to how we're building our products and how our teams operate. You'll experiment with new tools, automate the repetitive, and continuously rethink how to work smarter. • Build AI-first: • Work with an exceptional team: Join ambitious, curious, low-ego people who move quickly, hold a high bar, and care deeply about what they build. • Work with an exceptional team: • Grow with Breeze: As Breeze grows, strong performers can quickly expand their scope and take on bigger problems. • Grow with Breeze: • Build for the long term: Backed by Sequoia Capital, Multicoin Capital, and The Chainsmokers, we're exceptionally well-capitalized with the runway to think big. • Build for the long term: • In-Office Expectations • Employees based in our New York City, NY office follow a hybrid work model and are expected to work from the office three days per week. Employees based in our Singapore office are expected to work on-site five days per week. • New York City, NY • three days per week • Singapore • on-site five days per week • In-office expectations may vary slightly depending on role, team, and business needs. Certain roles that require closer cross-functional collaboration or operational support may have additional requirements, which will be discussed during the interview process. • Our approach is designed to support meaningful in-person collaboration, team building, and real-time decision-making while providing flexibility where applicable. We believe this structure enables strong execution, close collaboration, and effective teamwork across our global offices. • Come Build With Us! • Come Build With Us! • We offer 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!

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