Software Engineer, Machine Learning Infrastructure

Software Engineer, Machine Learning Infrastructure

Stripe | Posted Feb 20, 2026 (Full-time, Seattle, Advanced 5-10 yrs)

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

Stripe processes over $1T in payments volume per year, roughly 1% of the world’s GDP. The tremendous amount of data makes Stripe one of the best places to do machine learning. The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving ML models, and building LLM applications.

With the phenomenal developments happening in the field of AI, we are positioned to accelerate the adoption of AI/ML across all parts of the company by building highly scalable and reliable foundational infrastructure.

You will work closely with machine learning engineers, data scientists, and product engineering teams to enable a 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.

• Design and build scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions.
• Create services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems.
• Work directly with product teams and ML engineers to improve their day‑to‑day productivity.
• Take ownership of and find solutions for technical and product challenges by working with a diverse set of systems, processes, and technologies.

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 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.

• 2+ years of professional full‑time 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: knowing when to aim for an ideal solution and when to adjust course.

• Experience building and shipping production AI agents.
• Familiarity with LLMs and LLM frameworks.
• Experience training and shipping machine learning models to production to solve critical business problems.

Office‑assigned Stripe employees in most locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripe employees in our Bucharest, Romania site have an 80% in‑office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office.

Some teams have greater in‑office attendance requirements, to support our users and workflows; the hiring manager will discuss these details.

The annual US base salary range for this role is $156,800 - $235,200. (Other regions: salary ranges available upon request.) Additional benefits include equity, company bonus or sales commissions/bonuses, 401(k) plan, medical, dental, vision benefits and wellness stipends.