Philips-posted 3 months ago
$29 - $45/Yr
Intern
Orlando, FL
5,001-10,000 employees
Merchant Wholesalers, Durable Goods

Are you interested in a PhD. COOP opportunity with Philips? We welcome individuals who are currently pursuing a PhD. to participate in 6 month paid COOP opportunities at our site in Orlando. Through this role you will join MRPC at the forefront of medical device innovation, building a next-generation platform to integrate advanced AI into our core engineering workflows. We are seeking a highly motivated and talented AI Research Intern or Co-op, currently pursuing a PhD. This is a unique opportunity to bridge the gap between state-of-the-art academic research and real-world industrial application. You will go beyond simple RAG applications to architect and build a collaborative multi-agent system where intelligent agents work together to solve complex engineering problems. You will play a pivotal role in designing and prototyping the core components of this agentic platform, tackling high impact use cases and contributing to a project with the potential to significantly enhance product development efficiency and safety in the medical device industry.

  • Design and Prototype Novel Generative AI Solutions: Take a leading role in the research, design, and implementation of proof-of-concept (PoC) and prototype applications for key systems engineering use cases.
  • Leverage our Modern AI Platform: Work hands-on with our purpose-built AI stack, including interacting with and extending the Open-WebUI API gateway, utilizing Azure OpenAI models (GPT-4o, text-embedding-3-large) via our LiteLLM proxy, building solutions on top of our Qdrant vector database, and deploying and managing services within a Docker containerized environment.
  • Advance the State-of-the-Art in RAG and Agentic Applications: Investigate and apply cutting-edge techniques in Retrieval-Augmented Generation (RAG), including advanced chunking strategies, re-ranking algorithms, and prompt engineering to optimize performance for complex technical and regulatory documents.
  • Help define 'What's Next': Design and build Agents that can take complex product development objectives, plan and execute to achieve them using a ReAct framework and tools including our RAG API. Contribute to the architecture definition for an MCP server and client tools and UI that allows for a scalable approach to implementing multi-step engineering tasks.
  • Collaborate and Communicate Findings: Work closely with senior systems engineers and subject matter experts to understand workflow challenges. Present your findings, demo your prototypes, and contribute to the team's strategic direction.
  • The ideal candidate is enrolled in a PhD program in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related technical field.
  • Demonstrated experience in Natural Language Processing (NLP) and hands-on expertise with Large Language Models (LLMs) and transformer architectures.
  • Strong programming skills in Python and experience with common ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, scikit-learn).
  • Solid theoretical understanding and practical experience in designing and building RAG pipelines, including knowledge of vector databases (e.g., Qdrant, Pinecone, FAISS) and embedding models.
  • Familiarity with cloud computing platforms (Microsoft Azure is a strong plus) and their associated AI/ML services.
  • Hourly pay range of $29.00 to $45.00, plus overtime eligible.
  • Opportunity to work in a collaborative environment.
  • Potential for publication or presentation of work.
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