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Описание вакансии
Текст:
TL;DR
Software Engineer (Machine Learning) Intern (Summer 2027) (Machine Learning/Fintech): Developing and shipping production software projects for a consumer finance platform with an accent on machine learning, data processing, APIs, testing, and cloud deployment. Focus on writing production code, monitoring deployments, collaborating with a mentor, and presenting the completed work to the engineering organization.
Location: San Francisco, California, United States. Remote-first work is available within the United States, with occasional in-person office work and an in-person onboarding experience.
USA hourly base pay: $55.00. USA monthly base pay: $9,500.
Company
Affirm develops a consumer finance platform that enables clear and predictable pay-over-time options without hidden fees.
What you will do
- Develop and ship a meaningful software project during a 12–16 week internship.
- Collaborate with a mentor and manager to define a project aligned with team priorities and personal skills.
- Monitor deployments and verify that delivered work functions in production.
- Meet regularly with a dedicated mentor and incorporate feedback.
- Present completed work to the engineering organization at the end of the internship.
Requirements
- Passion for improving consumer banking.
- Experience with Python, C/C++, or Java.
- Experience with object-oriented programming.
- Experience with deployment and testing frameworks.
- Experience with API development and documentation.
- Strong communication skills and experience with AWS or another PaaS framework.
Nice to have
- Frontend experience with web applications, JavaScript, AngularJS, or React.
Culture & Benefits
- Remote-first work model with flexibility within the country of employment.
- Dedicated mentorship and regular feedback throughout the internship.
- Opportunities to attend intern and company events.
- Health coverage with premiums fully covered for employees and dependents.
- Monthly technology and health-and-wellness stipends, flexible time off, holiday calendars, and an employee stock purchase plan.
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