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• Lead science and engineering strategy and roadmap to invent and build scalable solutions for a state-of-the-art context-aware Brand Understanding.
• Develop and manage a research agenda that balances short term deliverables with measurable business impact as well as long term investments.
• Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment
• Advance the team's engineering backbone and drive continued scientific innovation as a thought leader and practitioner.
• Foster cross-team collaboration to execute complex projects, drive alignment across organizations for science, engineering and product strategy to achieve business goals.
• Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.
• Collaborate with business and software teams across Amazon Ads.
• Stay up to date with recent scientific publications relevant to the team.
• Provide technical and scientific guidance to team members.
• Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.
- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language
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