Intern LLM and RAGS

<h2 style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial;">AI/Machine Learning Research Intern (RAG &amp; LLMs)</h2><p style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial;"><strong>Location:</strong> Waltham, MA (On-site only)</p><p style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial;"><strong>Duration:</strong> 3 months minimum (can start as early as January)&nbsp;</p><p style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial;"><strong>Commitment:</strong> <wbr>approximately 40 hours per week &nbsp;<strong>Compensation:</strong> Unpaid (Academic Credit Eligible)</p><h3 style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial;">Role Overview</h3><p style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial;">We are seeking a highly motivated <strong>AI/ML Intern</strong> with a focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). &nbsp;You will be working at the frontier of generative AI, helping us explore, build and optimize systems that bridge the gap between static models and dynamic, private data.</p><p style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial;">This role is ideal for a student looking to apply theoretical knowledge to a production-grade environment and build a significant portfolio piece.</p><h3 style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial;">Key Responsibilities</h3><div><strong>Architect &amp; Optimize RAG Pipelines:</strong> Improve retrieval accuracy using vector databases (e.g., Pinecone, Milvus, or Weaviate).</div><div><strong>LLM Implementation:</strong> Experiment with and fine-tune prompts and workflows using models like GPT-4, Claude, or Llama 3.</div><div><strong>Data Engineering:</strong> Assist in the cleaning, chunking, and embedding of proprietary datasets.</div><div><strong>Evaluation:</strong> Implement benchmarking frameworks to measure hallucinations, faithfulness, and relevancy of model outputs.</div><h3 style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial;">Qualifications</h3><div><strong>Academic Standing:</strong>&nbsp; Graduate student (Masters/PhD) in Computer Science, Data Science, or a related technical field.</div><div><strong>GPA:</strong> 3.5 or higher preferred.</div><div><strong>Technical Skills:</strong> Proficiency in Python and experience with AI frameworks (e.g., LangChain, LlamaIndex, PyTorch, or TensorFlow).</div><div><strong>Domain Knowledge:</strong> A solid understanding of transformer architectures and the mechanics of RAG.</div><div><strong>Soft Skills:</strong> A research-oriented mindset with the ability to troubleshoot complex, non-deterministic systems.</div><h3 style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial;">What You Will Gain</h3><div><strong>Mentorship:</strong> Direct access to several AI chief architects and weekly 1-on-1 growth sessions.</div><div><strong>Portfolio Impact:</strong> Significant contribution to a live AI project that you can showcase to future employers.</div><div><strong>Flexibility:</strong> We respect your academic schedule and offer flexible working hours.</div><div><strong>Future Opportunities:</strong> Top performers will be prioritized for future full-time, paid openings.</div>