Hiring.Camp

Staff Machine Learning Engineer

Ppro

·

Jul 3, 2026

Location
Sao Paulo
Workplace
Hybrid
Type
Full-time
Department
Technology
Seniority
Senior
Source
Lever

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.

 

Skills

PythonAWSGCPMachine Learning

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Staff Machine Learning Engineer at Ppro | Hiring.Camp