Key Responsibilities:
- Lead teams performing strategic scientific analyses to identify technology gaps and business opportunities.
- Drive the design and delivery of solutions to address complex science problems.
- Communicate and drive strategic initiatives with critical inputs into operational planning.
- Build a science publication strategy and determine resource allocation.
A Day in the Life:
- Work on a high-impact product with tangible customer impact.
- Use and innovate state-of-the-art ML methods to solve real-world problems.
- Be part of a growing team with influence over mission, direction, and goals.
Qualifications:
- 10+ years of experience in managing scientists or machine learning engineers.
- Knowledge of ML, NLP, Information Retrieval, and Analytics.
- Experience building machine learning models or developing algorithms for business application.
- Experience building complex software systems with deep learning, machine learning, and computer vision.
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