Software Engineer, Machine Learning InternSoftware Engineer, Machine Learning Intern
AffirmStraight from Affirm’s careers page. Apply on the company site — no recruiter, no middleman.
Software Engineer (Machine Learning) Intern (Summer 2027)
Location: San Francisco, California, United States
Department: Checkout
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
As an intern at Affirm, you will be a contributing member of our outstanding engineering team, and as such you will work on meaningful projects and frequently ship code. Recent grads and past interns have built a real-time high-throughput data processing pipeline, developed an extensive automated testing framework, and built out our proprietary financial platform that is central to our long term company mission.
We are excited to meet and consider strong students for our 12-16 week internships. We are a dynamic organization that is happy to tailor projects to your skills, and we will work with you throughout the interview process to determine which team will be best for you.
What Youll Do
Interns are responsible for developing and shipping a project and verifying that it works in production. Because things are changing fast at Affirm, we do not specify intern projects in advance, instead you will collaborate with your mentor and manager when you start to spec a project that will best contribute to your team
- This role will ship code and monitor the deployment of your work. Our intern projects are not isolated or intended to be thrown away: your team will depend on your contributions!
- We pair interns with a dedicated mentor who will be by your side to give advice and ensure the success of your project. Expect to meet with them on a regular basis and receive feedback.
- There are opportunities to attend events with other interns and full-time Affirmers! Past events have included virtual cooking classes, executive fireside chats, cable car trolley tours, and Giants games.
- Interns present their work to the entire engineering organization at the end of the internship.
What We Look For
- Passion and dedication to changing consumer banking for the better
- Experience with Python, C/C++ or Java
- Frontend experience in WebApps/JavaScript/AngularJS/React
- Strong communication skills
- Experience with object oriented programming
- Deployment and testing frameworks
- API development/documentation
- AWS or other PaaS frameworks
Compensation is a set amount for the Intern role with no range.
USA hourly base pay: $55.00
USA monthly base pay: $9,500
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
- Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
- Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
- Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
- Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking Submit Application, you acknowledge that you have read Affirms Global Candidate Privacy Notice and consent to the use of your personal information as described.
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