Software Engineer, Machine Learning Infrastructure
Stripe is seeking a Software Engineer for its ML Infrastructure team to build scalable services and tools powering the ML lifecycle, including LLM applications. This mid-level role offers the opportunity to work on high-impact infrastructure at a company processing 1% of global GDP.
Responsibilities
- 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 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.
About the role
Who we are About Stripe 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.
About the team Stripe processes over $1T in payments volume per year, which is 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.
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.
About Stripe
Visit stripe.com for more.