Staff Machine Learning Engineer

Roman Health Pharmacy LLC; São Paulo; Presencial; BRL 334 800 - 558 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Meal vouchers

Gym membership

Mental health platform

Transportation voucher

New Value (Deals & Coupon Platform)

Enhanced family leave

Pet-friendly office

Resumo da oferta

Roman Health Pharmacy LLC is looking for a Staff Machine Learning Engineer to define the technical vision for ML-driven payment optimization. You will lead the architecture of foundational ML systems while overseeing technical standards across the organization.

Ideal candidates will have a strong background in ML architecture, leadership capabilities without authority, and a solid understanding of the payments domain. The role offers hybrid working, a comprehensive benefits package including health insurance, meal vouchers, and opportunities for learning and development.

Qualificações

• Proven experience designing and shipping ML systems serving multiple products.
• Ability to drive technical decisions across non-managed teams.
• Expertise in classical ML techniques and evaluation frameworks.
• Experience taking models to high-throughput, low-latency production.
• Strong Python coding skills and high standards for testability.
• Ability to connect technical decisions to business outcomes.
• Understanding card payment lifecycle and related authorization processes.
• Experience with AWS or GCP infrastructure at scale.

Responsabilidades

• Define and drive ML strategy and optimization roadmaps.
• Architect and implement foundational ML systems.
• Author and champion ML engineering standards organization-wide.
• Solve ambiguous high-stakes technical problems.
• Mentor senior engineers and raise production-ready expectations.
• Lead experimentation strategies for live payment traffic.
• Elevate engineering culture through design reviews and forums.

Conhecimentos

ML Architecture at Scale

Technical Leadership

Deep Classical & Applied ML Mastery

Production ML Engineering

Software Engineering Excellence

Strategic Thinking & Business Acumen

Payments Domain Depth

Cloud Infrastructure Mastery

Descrição da oferta de emprego

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.

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 accelerate 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. 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 toward 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.