Amazon Advertising is looking to define and deliver a collection of advertising solutions that drive product discovery and sales, and needs to make sense of the torrent of data produced by the advertising lifecycle.
Requirements
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Responsibilities
- Study and understand data engineering and analytics workflows to design the right conversational experiences
- Research, design, and develop NLP/NLU models for intent classification, entity extraction, sentiment analysis etc.
- Continuously improve models through techniques like active learning, transfer learning etc.
- Optimize models for metrics like precision, recall, latency, interpretability etc.
- Implement models within overall bot architecture and integrate with backend systems
- Collaborate with engineers to productionize and monitor models
- Stay up-to-date on latest advancements in conversational AI research, specifically in LLMs (multi-agent, chain of thought, autonomous agents)
Other
- 3+ years of experience
- PhD, or Master's degree
- Ability to work in a team
- Strong communication skills
- Ability to work in a fast-paced environment
