Rocket Lawyer→
AI/ML Intern at Rocket Lawyer in Remote
InternshipRemoteRemote$83k–$104k/yr
Skills
machine learninggenerative aideep learningretrieval-augmented generation (rag)neural networksagentslarge language models (llms)pythonbackend python frameworksvector databasesjavakotlinnodejssqlmicroservices architecturedistributed systems
Job Description
Summary: Rocket Lawyer is the largest and most widely used online legal service platform in the world, and they are seeking an AI/ML Software Engineering Intern to join their team. In this role, you will collaborate with cross-functional teams to assist in building a cutting-edge AI platform, working on real-world AI/ML projects.
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
Required Qualifications:
- 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
Preferred Qualifications:
- 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
Required Skills: Machine Learning, Generative AI, Deep Learning, Retrieval-Augmented Generation (RAG), Neural Networks, Agents, Large Language Models (LLMs), Python, Backend Python Frameworks, Vector Databases, Java, Kotlin, NodeJS, SQL, Microservices Architecture, Distributed Systems
Benefits: Variable compensation, Equity grant
Benefits
Variable compensation
Equity grant