Machine Learning Engineering Intern
Toronto, Canada (Hybrid)
- Pay
Multiple pay statements — pay source
Perks & Benefits: $45-$70 per hour subject to taxes Lunch can be expensed (up to $25) while working in the office.
$45-$70 per hour subject to taxes Lunch can be expensed (up to $25) while working in the office. PTO: 4 days
Read the full posting- Work setup
Hybrid stated — work setup source
Listed location: Toronto, Canada (Hybrid)
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingAt 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.
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.
Design, develop, and deploy Cresta’s KA solutions and proprietary models.
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.
From the employer’s posting
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.
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.
Responsibilities: 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.
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.
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.
Tools in this posting
- Python
- PyTorch
- TensorFlow
Source — Tool mentions in context
- 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.
Job description
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.
Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.
Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.
Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
About the role:
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.
Responsibilities:
- 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.
Qualifications We Value:
- 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.
Perks & Benefits:
- $45-$70 per hour subject to taxes
- 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. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.
This posting will be used to fill a newly-created role.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email).
Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed.
Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
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- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Perks & Benefits: $45-$70 per hour subject to taxes Lunch can be expensed (up to $25) while working in the office.
More source context
$45-$70 per hour subject to taxes Lunch can be expensed (up to $25) while working in the office. PTO: 4 days
- Location & working pattern
Toronto, Canada (Hybrid)
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Ability to design and analyze experiments involving large-scale datasets. - Work authorization in the country of employment at the time of hire. Perks & Benefits:
- Status in our records
- Active
- First seen by us
- Apr 16, 2026
- Recorded sightings
- 171
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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