ZipRecruiter

Log In

Stripe
Stripe

60 Stripe Software Engineer Jobs Hiring Near You

Stripe

Product Counsel

Counsel Stripe product and engineering teams on a range of issues relating to Stripe's software solutions, including Stripe Revenue Suite, Stripe Profiles, and Stripe Atlas. * Closely collaborate ...

previous pagenext page

Showing results 21-40

All JobsStripe JobsStripe Software Engineer Jobs

Stripe Jobs Information

What is it like to work at Stripe?

Stripe is a technology company that prioritizes innovation, collaboration, and customer satisfaction, fostering a culture of experimentation and continuous learning. The company's flat organizational structure and open communication channels enable teams to work closely together, with a focus on solving complex problems and driving growth through its online payment and banking systems. Working at Stripe may appeal to candidates who are passionate about building scalable and secure technology solutions, as the company offers opportunities for professional growth, autonomy, and a dynamic work environment.

What makes Stripe an attractive place to work?

Stripe is a leading fintech company that has revolutionized the way businesses process online payments, with a strong reputation for innovation and a vision to increase the GDP of the internet.

The company's workplace culture values collaboration, creativity, and open communication, with a focus on building a diverse and inclusive team that fosters a sense of community and belonging among employees.

Joining Stripe offers opportunities for impact, growth, and professional development, with a wide range of roles and projects that allow employees to contribute to the company's mission and develop their skills in a fast-paced and dynamic environment.

What other companies are hiring for Software Engineer jobs?

What are the most popular jobs at Stripe?

What are the most popular categories at Stripe?

Infographic showing various Software Engineer job openings at Stripe in the United States as of September 2026, with employment types broken down into 1% Internship, and 99% Full Time. Highlights an 59% Physical, and 41% Remote job distribution.

Software Engineer, Machine Learning Infrastructure

Toronto, ON

Stripe
Software Development • 1 - 5K employees
Learn more about Stripeexternal

Full-time

Re-posted 20 days ago

Key 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 transition seamlessly from experimentation to production.

  • Work directly with product teams and ML engineers to improve their day-to-day productivity.

Job description

Who we areAbout 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.

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

Apply