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Cresta is looking for a Machine Learning Engineer to join their Insights Team dedicated to leveraging AI techniques for extracting actionable intelligence from conversations. The role encompasses developing AI workflows, evaluating LLMs, and collaborating with cross-functional teams to enhance customer interactions.
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 CTO & 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 Insights Team is dedicated to leveraging Large Language Models (LLMs) and AI techniques to extract actionable intelligence from conversations. We develop models and systems that analyze customer interactions, identify key topics, and provide structured insights that impact business outcomes. Our work enables organizations to make data-driven decisions and optimize customer experience through AI-powered exploration and interactive workflows.
A key focus of this role is developing agentic workflows that empower users to dynamically interact with AI-driven insights, refining and guiding the discovery process in an interactive and iterative manner. Additionally, this role will involve designing and implementing LLM evaluation frameworks to assess model performance, reliability, and usability in real-world applications. Our goal is to provide users with intelligent, context-aware AI agents that surface the most relevant insights and allow for deeper exploration of conversational data.
As a Machine Learning Engineer, you will be at the forefront of applying state-of-the-art NLP and LLM techniques to understand conversations at scale. Your work will focus on developing robust, scalable AI solutions that extract meaning, evaluate LLM effectiveness, and provide real-time insights to our customers through intuitive, agent-driven workflows.
Responsibilities
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