Machine Learning Engineering Intern Jobs

Machine Learning Engineering Intern

Cresta

Location:
Canada, Toronto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

45.00 - 70.00 USD / Hour

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Job Description:

At Cresta, the Knowledge Assist (KA) team develops AI solutions for the contact center industry, focusing on improving agent productivity by providing access to the right knowledge at the right time. Our internships offer a dynamic, fast-paced environment where you’ll collaborate with top researchers and engineers in the field. We provide opportunities for interns to make significant contributions to AI research and apply novel techniques at scale. This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments.

Job Responsibility:

Design, develop, and deploy Cresta’s KA solutions and proprietary models
Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios
Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions into Cresta’s customer solutions
Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s KA
Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems

Requirements:

Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow)
Strong understanding of machine learning fundamentals and generative modeling
Ability to design and analyze experiments involving large-scale datasets
Work authorization in the country of employment at the time of hire

What we offer:

Lunch can be expensed (up to $25) while working in the office
PTO: 4 days
Compensation for this position includes a base salary, equity, and a variety of benefits

Additional Information:

Job Posted:
December 07, 2025

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