PPRO

Staff Machine Learning Engineer

PPRO
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4 months ago
São Paulo, BrazilStaff+

Responsibilities

  • Define the multi-quarter technical strategy and roadmap for ML-driven payment authorization optimization, routing intelligence, and retry strategies.
  • Design and lead shared ML infrastructure, including feature stores, model-serving platforms, and experimentation frameworks.
  • Establish organization-wide ML engineering standards for model governance, monitoring, MLOps, reliability, and reproducibility.
  • Lead ambiguous, high-stakes technical initiatives across multiple engineers and teams.
  • Mentor senior engineers through design reviews, pairing, stretch opportunities, and technical guidance.
  • Design experimentation strategies for live payment traffic using multi-armed bandits, causal inference, and traffic-splitting frameworks.
  • Run design reviews and create forums, guilds, working groups, and RFCs to align ML practitioners.
  • Partner with Product, Data, Core Payments, and Platform Engineering on architecture and technical direction.

Requirements

  • Demonstrated experience designing and shipping reusable ML systems and platforms serving multiple products or teams.
  • Proven ability to drive technical decisions across teams without formal management authority.
  • Expertise in classical and applied ML, including XGBoost, LightGBM, calibration, cost-sensitive learning, and evaluation beyond standard accuracy metrics.
  • Extensive experience taking models from experimentation into high-throughput, low-latency production environments, including ownership of reliability, SLAs, incident response, and MLOps tooling.
  • Senior-level Python development and code-review experience, with strong testability, maintainability, and systems-design skills.
  • Strong strategic thinking, business acumen, written and verbal communication, and ability to translate ambiguous business goals into ML problems.
  • Strong understanding of the card payment lifecycle, issuer behavior, authorization codes, retry logic, network rules, and 3DS.
  • Deep experience designing and owning ML infrastructure on AWS or GCP, including infrastructure-as-code, cost management, and build-versus-buy decisions.

Benefits

  • Hybrid work with an expectation of three days per week onsite and a policy allowing remote work from abroad for additional periods.
  • 30-day holiday allowance.
  • Annual professional-development budget, leadership cafés, on-the-job training, and other learning opportunities.
  • Life, health, dental, and travel insurance.
  • Meal or supermarket voucher options.
  • Enhanced family leave and transportation voucher support.
  • Gym membership contribution and access to employee discounts through the New Value platform.
  • Mental health platform with therapy, courses, and guided meditation.
  • Access to SESC education, health, culture, recreation, and social-assistance programs.
  • Pet-friendly office.

Tech Stack

PPRO

About PPRO

501-1,000 employees

PPRO builds a payments infrastructure platform that lets businesses and banks offer local and alternative payment methods through a single connection. It provides acquiring, processing, and orchestration for cards-not-present and e-commerce transactions, helping clients localize checkout without managing dozens of integrations. Founded in 2006 and headquartered in London, the privately held company counts partners such as PayPal, Stripe, and Microsoft.

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