Cresta Verified
Artificial Intelligence, SaaS, Customer Service, Sales Technology, Enterprise Software
Machine Learning Engineering Intern
Toronto, Ontario, CanadaOnsiteInternshipJunior / Entry-levelPosted 1 month ago
Role summary
Cresta's Knowledge Assist (KA) team is seeking a Machine Learning Engineering Intern to contribute to AI solutions for the contact center industry. Interns will work on projects like Generative Knowledge Assist (GenKA) and Retrieval-Augmented Generation (RAG), focusing on improving agent productivity and information retrieval. The role involves designing, developing, and deploying AI solutions and proprietary models, with an emphasis on practical AI challenges, scalability, and reliability. Interns will collaborate with cross-functional teams and contribute to cutting-edge AI research and production environments. This internship offers a dynamic environment with mentorship from leading researchers and engineers.
- 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 current projects:
- Generative Knowledge Assist (GenKA): Real-time, context-aware suggestions for contact center agents, integrating with multiple knowledge bases to streamline information retrieval, reduce agent effort, and ensure accurate responses
- Knowledge Search (KS): A search experience tailored for contact center agents. Built on the GenKA stack, it aims to evolve into an enterprise search solution beyond contact centers
- Retrieval-Augmented Generation (RAG): A critical project underpinning GenKA, KS, and VA, enabling efficient retrieval of relevant knowledge content and generating read-to-use agent responses grounded in knowledge
- 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
- 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
### Benefits
- Weekly lunch & learn
- Work with an A+ team of ex-Founders, world leading scientists, and nationally competitive athletes
- Mentorship - A world class mentorship board advises and mentors our team-members to capture the opportunity ahead of us- 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
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