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About the Role
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. You will identify and frame high-leverage opportunities, bridging strategy, architecture, and execution across multiple teams. Partner with Product, Data, Core Payments, and Platform Engineering to set standards, eliminate bottlenecks, and ensure ML capabilities scale with the business. This role is for experienced engineers ready to multiply their impact through technical leadership, mentorship, and architectural decisions.
Responsibilities
- 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.
- Drive Cross-Team Technical Standards: Author and champion ML engineering standards across PPRO (model governance, monitoring, MLOps patterns).
- Solve Ambiguous, High-Stakes Problems: Scope, structure, and sequence work, then lead execution across multiple engineers and teams.
- Mentor and Level Up Senior Engineers: Invest in the growth of Senior engineers through design reviews, pairing, and sponsoring stretch opportunities.
- Lead Experimentation at Scale: Design the experimentation strategy for live payment traffic—including multi-armed bandits, causal inference approaches, and traffic-splitting frameworks.
- Elevate Engineering Culture: Run design reviews, set expectations for technical documentation, and create internal forums for knowledge sharing and standard alignment.
Requirements
- Demonstrated experience designing and shipping ML systems that serve multiple products or teams.
- Proven ability to drive technical decisions across teams you don't manage.
- Expert-level command of classical ML (XGBoost, LightGBM, calibration, cost-sensitive learning).
- Extensive experience taking models from experimentation to high-throughput, low-latency production environments.
- Owned reliability, SLAs, and incident response for ML systems.
- Built MLOps tooling.
- Write and review code at a senior+ level in Python.
- Hold the team to high standards for testability and maintainability.
- Credibly engage in systems design discussions with Principal and Staff engineers.
- Connect technical decisions to business outcomes.
- Communicate clearly with non-technical stakeholders.
- Translate ambiguous business goals into concrete 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 at scale.
- Experience with infrastructure-as-code, cost management, and build-vs-buy decisions on platform components.
Skills
- Machine Learning
- ML Architecture
- Technical Leadership
- Classical ML (XGBoost, LightGBM, calibration, cost-sensitive learning)
- Production ML Engineering
- MLOps
- Python
- Software Engineering
- Systems Design
- Strategic Thinking
- Business Acumen
- Payments Domain Knowledge
- Cloud Infrastructure (AWS, GCP)
- Infrastructure-as-Code
Location
- Global
Work Type
- Hybrid
- Remote
Experience Level
- Staff
- Senior+
Benefits
- Hybrid working (3 days/week on site expectation)
- Work from abroad policy (up to 30 days/year)
- €1,000 annual budget for professional growth
- Leadership cafés
- On-the-job training
- Accident insurance
- Disability insurance
- Direct insurance (bAV)
- Travel insurance
- Gym membership contribution
- Enhanced family leave
- Mental Health Platform (one-on-one therapy, chat therapy, courses, guided meditations)
- Pet-friendly office
About the Company
- PPRO simplifies access to local payments, providing a platform that empowers companies like PayPal, Stripe, and Microsoft to connect with billions of consumers worldwide.
- Ambitious, fast-paced mission to 3x growth by 2028.
- Diverse cultures spanning over 50 nationalities across 10+ global locations.
- People-first, high trust environment with autonomy and opportunities for impact, ownership, and growth.
- Principles: Get things done, Act with trust and integrity, Put the customer first, Make things better, Work as a team.
Equal Opportunity
- Payments only work when they reflect how different people actually pay, and we build teams the same way: our people span more than 50 nationalities, and that mix is exactly what makes us good at this.
- We welcome applicants of every background, identity, and experience.
- We're far more interested in what you'll bring than a perfect match on paper.
- We make sure our hiring process is accessible to everyone.
- If you need an adjustment at any stage, just let us know: we're happy to help.