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  3. Staff Machine Learning Engi...

Staff Machine Learning Engineer

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PPRO logo

Staff Machine Learning Engineer

PPRO

Location

Sao Paulo

Experience

Senior

Posted

Jul 7, 2026

Apply by

August 6, 2026

Applicants

0

Early applicantEasy applyFull-timeHybrid

Sign in to apply on web or download the app for more options.

Job Description

At PPRO, our mission is to simplify access to local payment methods and our vision is to enable the sale of goods and services to anyone in the world using their preferred way to pay. We empower partners such as Ant Group, PayPal and Stripe to access new markets, connect with more customers, and accelerate their growth. Our strength lies in our diverse global team with 50+ nationalities and 10+ international locations- all united around one goal – to deliver the best possible products and services to our partners and customers. While our company mission is to keep innovating global commerce, our internal mission is to #chooseaction, #beopen, #thinkcustomer, #gofurther and #wintogether **The Purpose:** As a **Staff Machine Learning Engineer** in PPRO's **Performance Powerhouse** team, you will define the technical vision and architecture for ML-driven payment optimization across the organization. You will move beyond executing well-defined problems to identifying and framing the highest-leverage opportunities—bridging strategy, architecture, and execution across multiple teams. You'll partner deeply with Product, Data, Core Payments, and Platform Engineering to set standards, eliminate systemic bottlenecks, and ensure PPRO's ML capabilities scale with the business. This role is for engineers who have mastered ML and software craft at the senior level and are now ready to multiply their impact through technical leadership, mentorship of senior engineers, and architectural decisions that shape how the Data & ML organization builds and deploys ML systems. You will be the technical authority on ML for payments at PPRO—setting the direction others follow, raising the bar across the discipline, and driving alignment across engineering, product, and data teams. ``` ``` ### What You Will Be Doing - **Define ML Technical Strategy:** Drive the multi-quarter roadmap for ML-driven authorization optimization, routing intelligence, and retry strategies. Identify the highest-impact opportunities before they become obvious, and build the case for investment with data and business framing. - **Architect Foundational ML Systems:** Design and lead the implementation of shared ML infrastructure—feature stores, model serving platforms, experimentation frameworks—that accelerates every team building on payments data, not just your own. - **Drive Cross-Team Technical Standards:** Author and champion ML engineering standards across PPRO (model governance, monitoring, MLOps patterns), ensuring consistency, reliability, and reproducibility organization-wide. - **Solve Ambiguous, High-Stakes Problems:** Take on challenges where the problem itself isn't well-defined. You scope, structure, and sequence the work—then lead execution across multiple engineers and teams to deliver. - **Mentor and Level Up Senior Engineers:** Actively invest in the growth of Senior engineers: through design reviews, pairing on hard problems, sponsoring stretch opportunities, and raising expectations for what "production-ready ML" means at PPRO. - **Lead Experimentation at Scale:** Design the experimentation strategy for live payment traffic—including multi-armed bandits, causal inference approaches, and traffic-splitting frameworks—ensuring sound statistical methodology across the team. - **Elevate Engineering Culture:** Run design reviews, set expectations for technical documentation, and create the internal forums (guilds, working groups, RFCs) that help ML practitioners across teams learn from each other and align on standards. ### What We Are Looking For - **ML Architecture at Scale:** Demonstrated experience designing and shipping ML systems that serve multiple products or teams—not just models, but the platforms, contracts, and abstractions that make ML reusable and reliable at scale. - **Technical Leadership Without Authority:** Proven ability to drive technical decisions across teams you don't manage—through clear writing, credibility, and the ability to synthesize competing perspectives into a coherent path forward. - **Deep Classical & Applied ML Mastery:** Expert-level command of classical ML (XGBoost, LightGBM, calibration, cost-sensitive learning) with the judgment to know when—and when not—to reach for more complex approaches. You've operated beyond standard accuracy metrics and can design evaluation frameworks appropriate to the problem. - **Production ML Engineering:** Extensive experience taking models from experimentation to high-throughput, low-latency production environments. You've owned reliability, SLAs, and incident response for ML systems, and you've built MLOps tooling—not just consumed it. - **Software Engineering Excellence:** You write and review code at a senior+ level in Python, hold the team to high standards for testability and maintainability, and can credibly engage in systems design discussions with Principal and Staff engineers across Data and Platform. - **Strategic Thinking & Business Acumen:** You connect technical decisions to business outcomes—approval rate improvements to revenue, latency reductions to conversion, model drift to operational risk. You communicate clearly with non-technical stakeholders and can translate ambiguous business goals into concrete ML problems. - **Payments Domain Depth:** Strong understanding of the card payment lifecycle, issuer behavior, authorization codes, retry logic, network rules, and 3DS. You use domain knowledge to inform feature design, model architecture, and experimentation strategy—not just as background context. - **Cloud Infrastructure Mastery:** Deep experience designing and owning ML infrastructure on AWS or GCP at scale, including infrastructure-as-code, cost management, and the ability to make build-vs-buy decisions on platform components. **What we offer:** **Hybrid working** - We offer a hybrid structure with a 3 days / week on site expectation, so you can strike the balance between office and home working. In addition to our 30-day holiday allowance, we also provide a work from abroad policy, enabling employees to work remotely for up to another 30 days per year. **Learning and Development -** We offer a 3,000 BRL annual budget to support your professional growth—because investing in your development benefits us all. In addition, we provide leadership cafés, on-the-job training, and other opportunities to help you grow your skills and thrive in your role. **Insurance** - Because better safe than sorry - we want our employees to benefit from various insurances including life insurance, health insurance + dental plan and travel insurance. **Meal vouchers -** BRL 54/ day - Enjoy a moment of conviviality and a good and balanced meal thanks to your meal vouchers. You will also have the choice between meal allowance, supermarket voucher or both (splitting the total value in two) **Enhance Family Leave -** We understand the importance of family - that's why we offer enhanced family leave to support you during key life moments. **Transportation Voucher** - we will cover your costs of commute! **Gym membership** - PPRO helps contribute towards the costs of your gym membership, supporting your physical fitness journey while easing the burden on your wallet **New Value (Deals & Coupon Platform)** - Get attractive discounts to restaurants, stores and events **Mental Health Platform** - We’ve teamed up with a top well-being platform to provide one-on-one therapy, chat therapy, therapist-led courses, guided meditations, and more. **SESC** - private institution that makes available Education, Health, Culture and Recreational programs and events and provides Social Assistance to our employees and their dependents. **Pet-friendly office**- Because work is better with your paw-tners by your side ***Our Principles:*** ***We get things done:*** *We are courageous; we take ownership, make decisions and get things done.* ***We act with trust and integrity:*** *We listen first and challenge respectfully. We seek out and leverage diverse perspectives. We welcome and offer honest and open feedback, always assuming positive intent* ***We put the customer first:*** *We are laser focused on delivering outstanding outcomes for our customers. We put the customer at the heart of what we do.* ***We make things better:*** *We boldly explore new ideas and have an unwavering commitment to continuous improvement.* ***We work as a team:*** *We collaborate closely and value team success over individual achievement.*

Key Responsibilities

  • Define multi-quarter roadmap for ML-driven authorization optimization and routing intelligence.
  • Design and lead implementation of shared ML infrastructure including feature stores and model serving platforms.
  • Author and champion ML engineering standards across the organization for model governance and MLOps.
  • Solve ambiguous, high-stakes problems by scoping, structuring, and leading execution across teams.
  • Mentor and level up senior engineers through design reviews and pairing.
  • Design experimentation strategy for live payment traffic including multi-armed bandits and causal inference.
  • Run design reviews and create internal forums to align ML practitioners on standards.

Skills Required

PythonXGBoostLightGBMCalibrationCost-sensitive learningMLOpsAWSGCPInfrastructure-as-codeMulti-armed banditsCausal inference3DSCard payment lifecycleTechnical leadershipStrategic thinkingBusiness acumenCommunicationMentorshipProblem solving

Benefits

  • Hybrid working structure
  • 30-day holiday allowance
  • Work from abroad policy
  • 3,000 BRL annual learning and development budget
  • Life insurance
  • Health insurance
  • Dental plan
  • Travel insurance
  • Meal vouchers
  • Enhanced family leave
  • Transportation voucher
  • Gym membership contribution
  • Discounts to restaurants and stores
  • Mental health platform access
  • Private institution benefits (ESSC)
  • Pet-friendly office

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Job Overview

Salary

—

Job Type

Full-time

Experience

Senior

Location

Sao Paulo

Application Deadline

August 6, 2026

Total Applicants

0

About PPRO

PPRO logo

PPRO is a leading company in the Technology sector, known for innovation and employee-centric culture.

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