AI/ML Intern (Remote in North Carolina)

About your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in embedding AI features across our platform. You’ll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Reports to: Senior Software Engineer
Location: Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship.
Duration: June 9, 2025 - August 15, 2025, working 40 hours per week

How you will make a difference day to day

• Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features
• Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models
• Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products
• Research and stay up-to-date with industry trends around generative AI and machine learning
• Prototype product features to explore new AI capabilities and write clean, understandable code

What you’ll need

• Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.
• Current or upcoming Juniors & Seniors (rising into your third or fourth year)
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).
• Interest or experience working with large language models (LLMs) and generative AI.
• Strong programming skills in Python

A plus if you have:

• Exposure to machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Familiarity with vector databases.
• Experience with backend Python frameworks like FastAPI, Flask, Django, etc.
• Additional programming skills in languages such as Java, Kotlin, or NodeJS.
• SQL knowledge.
• Interest in building user-facing products.
• Understanding of microservices architectures and distributed systems.

Interview Process:

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview