Machine Learning Engineering Intern (AI)

TL;DR

Machine Learning Engineering Intern (AI): Developing AI solutions for contact centers, specifically Knowledge Assist and Retrieval-Augmented Generation (RAG) systems with an accent on reasoning, evaluation, and model deployment. Focus on scaling proprietary models for production environments, solving complex AI challenges, and collaborating across engineering teams to enhance agent productivity.

Location: Toronto, Canada and the United States

Compensation: $45–$70 per hour

hirify.global is an AI-powered platform helping contact centers automate conversations and uncover behavioral insights to improve human-AI collaboration.

What you will do

• Design, develop, and deploy Knowledge Assist (KA) solutions and proprietary AI models.
• Focus on practical challenges like reasoning and evaluation in real-world scenarios.
• Collaborate with cross-functional teams to integrate AI models into customer-facing applications.
• Scale AI systems for production, ensuring reliability and performance.
• Research innovative ways to optimize the security, cost-efficiency, and reliability of AI systems.

Requirements

• Currently pursuing a Bachelor's or Master's degree in CS, AI, ML, or a related field.
• Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
• Strong grasp of machine learning fundamentals and generative modeling.
• Ability to design and analyze experiments using large-scale datasets.
• Must have work authorization in the country of employment.

Culture & Benefits

• Competitive hourly compensation ranging from $45 to $70.
• Expense lunch allowance up to $25 per day while working in the office.
• 4 days of paid time off (PTO).
• Exposure to world-class research and engineering practices from Stanford AI lab origins.