Amazon Advertising opens applications for early career scientists
The new program, which offers full-time two-year positions, is aimed at recent PhD graduates who want to innovate, publish, and have their work impact millions of customers. The application deadline is May 14.
Amazon Advertising is looking for talented scientists to join a new program for early career scientists. The scientists will innovate in key areas of online advertising, including machine learning, economics, marketing, operations research, and statistics.
Amazon Advertising helps shoppers discover products on the Amazon Store, and helps brands to reach shoppers at every stage of their shopping journey. The team continually works to improve the shopper experience and helps advertisers delivers billions of ad impressions and millions of clicks every day.
Amazon Advertising scientists apply machine learning, optimization, causal modeling, and game theory at scale to enhance the shopper experience, help advertisers reach relevant audiences, and support brand building. The Amazon Advertising team is seeking talented scientists to invent cutting-edge techniques in a variety of areas and innovate on behalf of shoppers and advertisers.
Early career scientists will generate scientific breakthroughs in their areas of expertise. The participants will collaborate with and guide product teams to apply their expertise to model, optimize, and support advertising experiences for shoppers and advertisers.
Participants will also publish their innovations in top-tier academic venues, and lay the foundations for turning those innovations into customer-facing features.
“The program is an excellent opportunity for scientists to draw inspiration from challenges of scale and complexity, continue their inventive research, publish findings in top-tier conferences in their own areas, and innovate to impact millions of customers,” said Muthu Muthukrishnan, Amazon’s vice president of sponsored products, Amazon Advertising.
Possible topics of research include, but are not limited to:
- Deep sequence models (e.g., Transformer) for shopper engagement prediction
- Causal modeling for long-term shopper and retail impact of ads
- Reinforcement learning for multi-objective content optimization
- Deep generative models (e.g., GANs) for ad creative generation
- Online learning in nonstationary environments
- Game theory for auction design and utility inference
To apply, visit bit.ly/advertising-es-roles. The application deadline is May 14. These are full-time positions, so they cannot be held jointly with another appointment. For more information about applying to the program, please reach out to email@example.com.