Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.
Requirements
- 3+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience working with LLMs and VLMs at scale
- Experience with natural language processing and generative model architectures
- Experience with video compression
- Understanding of image processing fundamentals
Responsibilities
- Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done.
- Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level.
- Articulate potential scientific challenges of ongoing or future customers’ needs or business problems, and present interventions to address them.
- Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best
Other
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Demonstrated track record of innovative AI solution development
- Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
