Machine Learning Engineer
4 months ago
Imagine transforming Call Center operations with our real-time agent assist product and harnessing the power of AI with our comprehensive suite of post-call analytics and coaching tools. Born from the prestigious Stanford AI lab, Cresta was co-founded by visionary Sebastian Thrun, the genius behind Google-X, Waymo, Udacity, and more. Our company is now driven by Ping Wu, the co-founder of Google Contact Center AI and the Vertex AI platform, and Tim Shi (co-founder), an early member of Open AI.
Our world-class team comprises AI and ML experts, dynamic go-to-market leaders, and top-tier investors and advisors from Andreessen Horowitz, Greylock Partners, Sequoia Capital, and former AT&T CEO John Donovan. With an impressive roster of clients like Intuit, Porsche, and Verizon, and accolades from Business Insider, Forbes, and Gartner, Cresta is a startup that's capturing the world's attention. p>About the role:
As a ML Engineer on the AI Agent team at Cresta, you will join a pioneering group at the cutting edge of artificial intelligence technologies. By focusing on user-centric design, you will solve some of the most challenging problems in AI today, helping to create solutions that not only mimic human interaction but enhance it with the speed and efficiency of AI. strong>
- Play a substantial role in the Cresta Virtual Agents engineering team.
- Stay closely aligned with customers and their requirements, analyze the technical tradeoffs, and own the customer-facing deliverables.
- Develop high quality, well-designed, reusable, and well-tested system components, and contribute to the overall system designs.
- Optimize the platform design and implementation for lower latency, higher throughput, better reliability, and cost reduction.
- Grow into technical ownership in a substantial part of the Cresta product and platform.
- Contribute to building the best-in-class company in addition to building the best-in-class product.
- Bachelor’s degree in Computer Science or related field.
- Previous experience working on Virtual Agent or AI Agent systems.
- Experience in high-performance database schema design and query optimization.
- Experience in containerized application deployment with Kubernetes.
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