[Hiring] Machine Learning Engineer @Stripe

Role Description

As a Senior Machine Learning Engineer on the Stripe Assistant team, you’ll own the end-to-end ML and agent architecture that makes Stripe Assistant safe, reliable, and deeply useful.

• Set the strategy for how the Assistant executes high-trust actions, delivers accurate analytical answers across Stripe and the broader web, orchestrates capabilities across many tools and agents, and grounds responses in authoritative Stripe and user data.
• Drive conversation continuity and personalization across surfaces.
• Evolve the Assistant into a proactive partner that anticipates user needs.
• Deepen its presence in the dashboard to streamline critical workflows.
• Establish rigorous evaluation and SLOs and deliver step‑change improvements in quality, latency, cost, and availability.
• Pave the way for configurable levels of autonomy and a dependable operating layer over a merchant’s Stripe account.

Responsibilities

• Establish trustworthy, human-in-the-loop execution for high-trust "write" actions—prioritizing user control, transparency, accountability, and auditability.
• Define and evolve the Assistant’s capability and governance model across hundreds of tools and agents.
• Raise answer quality and usefulness by grounding in authoritative Stripe knowledge and live user data.
• Explore and apply optimal machine learning methods to improve Stripe Assistant’s overall performance.
• Make quality and reliability a product: set and meet SLOs, build rigorous evaluation and benchmarking loops.
• Lead as a tech lead: mentor and grow engineers, uphold high bars for code quality, security, observability, and operational rigor.

Qualifications

• 5+ years in AI/ML and backend engineering.
• Applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration, fine-tuning, code generation, evaluations, etc.
• Proficient in Python (Ruby is a plus); strong distributed systems fundamentals.
• Experience working closely with product management, design, other engineers, and other cross-functional partners.

Preferred Qualifications

• Experience operating ML systems at global scale with stringent SLOs.
• Experience building products where AI/ML is core.
• Track record building ML platforms that enable multiple teams to collaborate together.
• Strong technical leadership and communication skills.

Benefits

• Join us to build a trustworthy, proactive AI operating layer for every Stripe merchant—advancing safety, reliability, and insight at global scale.
• If you’re ready to help take Stripe Assistant from copilot to full autopilot and shape how businesses connect with Stripe, we’d love to hear from you.