What you’ll do
You will work closely with machine learning engineers, data scientists, and product engineering teams to enable seamless end-to-end experience in building solutions across data, analytics, and AI/ML platforms. You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company.
Responsibilities
- Designing and building scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions.
- Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems.
- Working directly with product teams and ML engineers to improve their day-to-day productivity.
- Taking ownership of and finding solutions for technical and product challenges by working with a diverse set of systems, processes, and technologies.
Who you are
We’re looking for people with a strong background or interest in building successful products or systems; you’re passionate about solving business problems and making impact, you are comfortable in dealing with lots of moving pieces; and you’re comfortable learning new technologies and systems. You are comfortable working with other Stripe teams across the US and Canada.
Minimum requirements
- 2+ years of professional software development experience with a solid background on service oriented architecture and large-scale distributed systems
- Experience working through the full life cycle of software development, from talking to users, to design and implementation, to testing and deployment, to operations
- Experience working on production ML platforms, MLOps solutions, or building LLM applications
- Experience running operations for high availability, low latency systems
- Experience partnering with other teams to drive business outcomes
- A sense of pragmatism: you know when to aim for the ideal solution and when to adjust course
Preferred qualifications
- Experience building and shipping production AI agents
- Familiarity with the LLMs and LLM Frameworks
- Experience training and shipping machine learning models to production to solve critical business problems
Hybrid work at Stripe
This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).
