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Key job responsibilities
* Drive innovation by identifying, evaluating, and applying emerging technologies and scientific methods that improve the accuracy, explainability, and scalability of our models.* Quantify the value of forecasting and recommendations through rigorous measurement of model accuracy and the resulting business impact.
* Own the science and engineering strategy and roadmap, balancing long-term investments with near-term business impact.
- 10+ years of applied ML experience in delivering ML-based solutions to solve real-world problems and achieve business goals, at a very large scale.
- 2+ years of hands-on experience leading multiple ML teams to design products that satisfy a customer need.
- Ph.D. in Machine Learning, Computer Science, or related disciplines.
- Experience shipping large-scale deep learning models for online recommendation, personalization, or search.
- Experience partnering with engineering teams to ensure deep learning solutions meet latency requirements.
- Experience influencing product strategy through cutting edge research in deep learning.
- Effective verbal and written skills in communicating with both non-technical and technical audiences.
- Excellent business judgment; the ability to balance business, product, and technology priorities.
- Expert in machine learning, statistics, and experiment design.
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