2 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
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