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 upcomingJuniors & 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
- Utah, Arizona, North Carolina: $29.60
- California (Outside of San Francisco Bay area) and Colorado: $31.45
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