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Tier-1 brand, remote role, and metro footprint increase competition, but senior specialized GenAI focus moderates density.
Specialized Conversational GenAI expertise moderately limits cross-industry fit despite transferable ML skills.
Explicit 10+ years and required Conversational GenAI, ML frameworks, productionization skills make screening highly selective.
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Design, develop, and deploy Conversational GenAI systems and algorithms to enhance customer support for millions of Uber Eats users and achieve significant cost savings.
Lead experimental design and data analysis to derive insights and improve operational and product metrics.
Technically lead the team by reviewing designs/code, mentoring engineers, and collaborating cross-functionally on new AI solutions.
Bachelor's or Master's degree in Computer Science, Statistics, or related field, or equivalent experience in Conversational GenAI.
Minimum 10+ years industry experience with strong focus on machine learning and optimization.
Proficient with ML frameworks (Tensorflow, PyTorch, JAX, Scikit-Learn) and SQL in production environments.
Experience in experimental design, statistical analysis, data visualization, and feature engineering.
Experienced in building and owning production-grade Conversational GenAI models with a strong understanding of product and operational metrics.
Has technical leadership experience, capable of mentoring and guiding engineers.
Skilled in statistical methods and exploratory data analysis to inform AI system improvements.