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AI Research Intern, PhD – Full Time, Summer at Assent | JobVerse
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AI Research Intern, PhD – Full Time, Summer
Assent
Remote
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AI Research Intern, PhD – Full Time, Summer
Canada
Internship
5 days ago
H1B Sponsor
Apply Now
Key skills
AWS
Cloud
Python
PyTorch
Tensorflow
AI
Machine Learning
ML
LLM
TensorFlow
LangChain
MLOps
Chroma
Pinecone
Milvus
Prototyping
Communication
Collaboration
About this role
Role Overview
Research and prototype LLM-based agent architectures, exploring task decomposition, reasoning, and collaboration between agents
Implement and evaluate proof-of-concept AI systems using open-source or proprietary LLM models and frameworks.
Develop scalable experiment pipelines to assess model behavior, safety, and reliability
Build and optimize Python-based backend components, including prompt 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
Requirements
Currently pursuing a PhD (3+ years completed) in Computer Science, Machine Learning, AI, or a related discipline
Strong coding and prototyping skills in Python, including familiarity with one or more of: PyTorch, TensorFlow, or similar ML frameworks
LLM agent frameworks (LangChain, LlamaIndex, DSPy, AutoGen, or Semantic Kernel)
Vector databases (FAISS, Chroma, Pinecone, or Milvus)
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
Tech Stack
AWS
Cloud
Python
PyTorch
Tensorflow
Benefits
vacation time that increases with tenure
comprehensive benefits packages (details vary by country)
life leave days
competitive base salary
corporate bonus program
retirement savings options
flexible work options
volunteer days
opportunities to get involved in corporate giving initiatives
professional development days
Apply Now
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