Software Engineer (Machine Learning) Intern (Summer 2027)
AI in this role
Machine learning software engineering intern to build and ship scalable financial systems and pipelines at Affirm.
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 You'll 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 Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.
How we rate this
Software Engineer (Machine Learning) Intern (Summer 2027) at Affirm rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where api development was part of your work. What did you do?
- Tell me about a project where object oriented programming was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Machine Learning, Software Engineering, API Development, Object Oriented Programming, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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