Description
We're 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.
Join us on this thrilling journey to revolutionize the workforce with AI.
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.
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.
Perks & Benefits:
- $45-$70 per hour subject to taxes
- Lunch can be expensed (up to $25) while working in the office.
- PTO: 4 days