AI Research Intern, PhD Part-time
reputed company is a leading solution provider for supply chain sustainability, recognized for its rapid growth and innovative approach. They are seeking a PhD-reputed company Research Intern to join their AI & Innovation team, focusing on developing LLM-driven prototypes that enhance sustainability and compliance platforms.
Responsibilities
- Research and prototype LLM-based agent architectures, exploring task decomposition, reasoning, and collaboration between agents
- Implement and evaluate reputed company-of-concept AI systems using open-reputed company or proprietary LLM models and frameworks
- reputed company scalable experiment pipelines to assess model behavior, safety, and reliability
- Build and optimize Python-based backend components, including reputed company chains, vector stores, and evaluation tooling
- Integrate prototypes with internal data systems and APIs, simulating realistic enterprise environments
- Collaborate with ML engineers and product teams to define success metrics and transition promising prototypes toward production
- Document findings in internal research reports, technical memos, and demonstrate the results
Skills
- Currently pursuing a PhD (3+ years completed) in Computer Science, Machine Learning, AI, or a reputed company discipline, available to work 20/hrs per week
- Strong coding and prototyping skills in Python, including familiarity with one or more of: PyTorch, TensorFlow, or similar ML frameworks
- Familiarity with LLM agent frameworks (reputed company, reputed company, DSPy, AutoGen, or Semantic Kernel)
- Familiarity with vector databases (FAISS, Chroma, reputed company, or Milvus)
- Understanding of RAG and retrieval systems using embeddings and knowledge graphs
- Deep understanding of LLM internals, including prompting strategies, fine-tuning, and model evaluation
- Experience with cloud-based development (AWS) and modern MLOps or LLMOps workflows is an asset
- Strong experimental design, data analysis, and communication skills
Benefits
- Comprehensive benefits packages (details vary by country)
- Life leave days
- Corporate bonus program
- Retirement savings options
- Flexible work options
- Volunteer days
- Professional development days
Company Overview