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You will also play a critical role in the organization's business planning, work closely with senior leaders to develop goals and resource requirements, influence our long-term technical and business strategy, and help hire and develop science and engineering talent. You will provide science thought leadership and support to business partners, helping them use the best scientific methods and science-driven tools to solve current and upcoming challenges and deliver efficiency gains in a changing market.
- Experience building complex, real-world systems involving NLP techniques including experience with Gen AI applications and infrastructure.
- 3+ years of managing teams of scientists or machine learning engineers
- Knowledge of ML, NLP, Information Retrieval and Analytics
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
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