AI/ML Intern
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About the Role
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 building a cutting edge AI 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.
Responsibilities
- 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.
- 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 bonus if you have
- Experience with backend Python frameworks like FastAPI, Flask, Django, etc.
- Familiarity with vector databases.
- 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
- Hiring Manager Interview
- Team Interview
Duration: June 8, 2026 - August 14, 2026, working 40 hours per week
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