Machine Learning Engineering Intern

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.

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 [email protected]