Internship, Fullstack Software Engineer, Machine Learning Platform, AI Infrastructure (Fall 2026)

About the role

The position is expected to start August or September 2026 and continue through fall term (ending approximately December 2026) or continuing into Winter/Spring 2027 if available and there is an opportunity to do so. A minimum of 12 weeks, full-time (40 hours/week) and on-site, is required for most internships.

Responsibilities

• Arcitect and implement scalable, user-friendly tools for AI workflows to track and visualize the lifecycle of machine learning experiments and models
• Build robust tools and infrastructure to improve the machine learning team's velocity, including training and evaluation code in Python to back-end and front-end work in JavaScript
• Collaborate closely with ML engineers to ensure tools are aligned with research needs
• Design dashboards to provide real-time insights into performance and progress for our ML engineers and leadership
• Coordinate required hardware resources with the team managing the cluster hardware to maintain high availability

Requirements

Pursuing a degree in Computer Science, Computer Engineering, or related field of study with a graduation date between December 2026- December 2027

Strong knowledge of Python, React, and Linux

Experience working with backend infrastructure components (relational databases, in-memory caches, message brokers)

Experience building modern web applications using Flask/Django and React/Redux or similar component-based libraries

Experience deploying services on Kubernetes and setting up CI/CD flows

Solid understanding of security principles and best practices

UI and graphic design sensibilities

Experience working with HPC clusters

Knowledge of machine learning, computer vision, or neural networks

Qualifications

Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.

International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying.

You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.

Skills

• Python
• React
• Linux
• Backend infrastructure components (relational databases, in-memory caches, message brokers)
• Flask/Django and React/Redux or similar component-based libraries
• Kubernetes and CI/CD flows
• Security principles and best practices
• Machine learning, computer vision, or neural networks

Benefits

• Medical plans
• Dental (including orthodontic coverage) and vision plans
• HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
• Flexible Spending Accounts (FSA)
• Employee Stock Purchase Plans
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Employee discounts and perks program

Pay

$125,000 - $125,000/annual salary + benefits