Validate (review, test, and provide effective challenge) AI/ML models, particularly Generative AI, including RAG and/or Agentic AI use cases
Stay up to date with advancements in the field of Generative AI including major publications, important LLMs, evaluation metrics, technology stacks, and datasets
Communicate findings and recommendations to both technical and non-technical stakeholders

Requirements

Currently enrolled in a Masters degree in computer science, machine learning, engineering, statistics, mathematics, or related field
Must be enrolled in a Masters degree with the intent of going back to school at the start of your work term
Experience with and strong knowledge of AI/ML methodologies including Generative AI, Agentic AI, Deep Learning, modern NLP, RAG, Transformers
Experience with Deep Learning and Generative AI technology stacks and libraries such as PyTorch, Tensorflow/Keras, LangChain/LangGraph, HuggingFace, Azure Databricks, Azure MLFlow
Proficient in programming languages such as Python
Excellent verbal and written communication skills

Benefits

Growth opportunities and skill development
Leadership talks with key Leaders from across the organization
Lunch and Learns on topics such as Innovation, Diversity and Inclusion, and Personal Branding

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML methodologiesGenerative AIAgentic AIDeep LearningNLPRAGTransformersPython

Soft Skills

communication skills