Principal Applied Scientist, Machine Learning
- Palo Alto, CA
Amazon Performance Advertising sits at the intersection of e-commerce and advertising, developing new native advertising experiences that are a critical area of strategic focus for the company. Amazon performance advertising is looking for a scientist to lead innovation for our global advertising marketplace. At the heart of our advertising business are systems for optimizing the ad marketplace involving auctions, experimentation infrastructure, AI methods for inference and control, as well as metrics-driven closed loop optimizations.
The Principal Scientist is responsible for innovation aimed at evolving these systems, inventing new shopper and advertiser experiences, and accelerating the pace of Machine Learning and Optimization. From influencing customer facing shopping experiences to helping suppliers grow their retail business and the auction dynamics that leverage native advertising, this role will be powering the engine of one the fastest growing businesses at Amazon.
To be successful in this role you will need to be comfortable defining a long-term science vision for our ad marketplace, driven fundamentally from the needs of our customers, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This is a role that combines science leadership, organizational ability, technical strength, product focus and business understanding. In the immediate term, this role requires (a) addressing principles of allocation function and pricing in ad marketplace auctions, (b) developing efficient algorithms for multiparameter optimization and AI control methods to find operating points for the ad marketplace auctions and to evolve them, and (c) develop science talent around learning, Economics and optimization for WW ads.
• PhD in OR, CS, ML, Economics or related areas.
• 10+ years of top quality research experience, with strong analytic and problem-solving skills.
• Experience with online advertising products.
• Strong verbal and written communication skills.
• Experience with machine learning, statistics, Economics, auction, mechanism design or game theory
This leader will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will be able to work equally well with science, engineering, Economics and business teams. This person will have very sound judgment and be able to recruit and groom high caliber talent. Professional traits that are not unique to this position, but necessary for Amazon leaders:
• Exhibits excellent judgment
• Hires great people. Develops great people.
• Has relentlessly high standards
• Expects, enables and requires innovation of all teams
• Thinks big and has convictions
• Results oriented
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