Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, IPSY, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx. As a Senior ML Scientist at Ada, you will own the quality and reliability of the AI features that power our AI Agent platform for customer support. You will partner with Product Managers, Engineers, and Designers to frame problems, design experiments, and make evidence-based decisions that improve outcomes for customers and end users. You will primarily deliver simple and highly reusable evaluation and analysis code, and you will collaborate with engineers to productionize changes. To be successful, you will develop a deep understanding of Ada’s product and empathize with our users to find the best ways to solve customer problems. If you’re excited to shape the future of AI-driven customer support, we would love to hear from you.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
101-250 employees