AI/ML Intern

6 days ago

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Logo of LunarTech

LunarTech

LunarTech is a leading education and technology platform that focuses on empowering individuals and enterprises with cutting-edge AI and data science skills. The company offers a wide range of courses, bootcamps, and workshops in artificial intelligence, machine learning, data science, and deep learning, designed to prepare participants for advanced roles in today's tech-driven industries. LunarTech also provides AI-powered solutions for businesses, including over 200 specialized AI assistants, helping them integrate transformative digital solutions into their operations. Through collaboration with industry giants like Microsoft, Nvidia, and Google, LunarTech ensures the delivery of innovative and strategic technology solutions. The company is committed to reshaping educational accessibility and fostering a new generation of global tech leaders.

Education β€’ Technology β€’ Artificial Intelligence β€’ Training β€’ Data Science

πŸ“‹ Description

β€’ 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. β€’ Collaborate with cross-functional teams to assist in embedding AI features across our platform. β€’ Learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features. β€’ We value a collaborative and supportive work environment, where we celebrate learning and growth. β€’ Reports to: Senior Software Engineer β€’ Location: Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship. β€’ Duration: June 9, 2025 - August 15, 2025, working 40 hours per week.

🎯 Requirements

β€’ Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field. β€’ Current or upcoming Juniors & Seniors (rising into your third or fourth year) β€’ Basic understanding of machine learning concepts and algorithms. β€’ Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents). β€’ Interest or experience working with large language models (LLMs) and generative AI. β€’ Strong programming skills in Python β€’ A plus if you have: β€’ Exposure to machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn. β€’ Familiarity with vector databases. β€’ Experience with backend Python frameworks like FastAPI, Flask, Django, etc. β€’ Additional programming skills in languages such as Java, Kotlin, or NodeJS. β€’ SQL knowledge. β€’ Interest in building user-facing products. β€’ Understanding of microservices architectures and distributed systems.

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