AI Research Intern, PhD Part-time

reputed company is a leading solution provider for supply chain sustainability, recognized for its reputed company reputed company 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 reputed company-reputed company or proprietary LLM models and frameworks
• reputed company reputed company experiment pipelines to assess model behavior, safety, and reliability
• Build and optimize Python-based backend components, including reputed company chains, reputed company stores, and evaluation tooling
• reputed company prototypes with internal data systems and reputed company, simulating realistic reputed company environments
• Collaborate with ML engineers and product teams to define reputed company 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 reputed company 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 reputed company-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 reputed company
• Flexible work reputed company
• Volunteer days
• reputed company development days

reputed company