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Machine Learning Lead
Augment CXM
San Francisco, Сполучені Штати
Дата публікації: 03.09.2026
Augment CXM is defining a new category of software - customer experience management - and powering it with a patented semantic neural network. This technology ensures that our clients deliver a fantastic customer experience every time. Our client base consists of some of the most well-known brands in the world and we’ve proven to generate a 30% gain in agent efficiency, a 44% increase sales conversion rates, and a 40% growth in customer satisfaction.
Responsibilities
Play a critical role in the leadership team on strategy and vision; Define the functional and research roadmap for the business; Lead, mentor, grow the data science team; Work with high-quality, rich datasets from Fortune 500s to drive insights for our customers; Prototype and iterate challenging architectures in NLP, such as Dual-Encoders, Retrieval-Based Ranking Engines, Generative Models, etc.; Be a luminary in the industry, blogging and speaking at eventsRequirements
3+ years of machine learning experience in a B2B product environment; Professional experience leading a data science team, with bonus points for Enterprise SaaS experience; Hands-on experience implementing production-grade NLP architectures; Practical experience in libraries like TensorFlow, PyTorch, scikit-learn, NumPy, or equivalent.; Exceptional writing and communication skillsBenefits
Employee Wellness and Wellbeing is a top priority at Augment. Team members are provided a comprehensive health benefits package with medical, dental, and vision plans to meet their specific requirements.; HSA savings options and a 401k program help employees plan for the future. And an unlimited vacation policy keeps everyone fresh.; A nimble, energetic 15-person team with an open and collaborative culture. We like to have fun and gather for weekly lunches [on the company dime]. We also get together occasionally for video game nights, happy hours, movies, bowling, ping pong, and our favorite all-you-can-eat Brazilian restaurant.Як відгукнутися
Подати заявку онлайн: https://www.jobs.pl/uk/oferta/100088783/aplikuj
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