Rocket Lawyer-posted 8 months ago
$29 - $31/Yr
Intern
Remote
Professional, Scientific, and Technical Services

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.

  • 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
  • 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
  • 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
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