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.