Amazon Senior Applied Scientist Amazon CloudWatch Logs 

United States, Washington, Seattle 

551729380

Key job responsibilities
As a Sr. Applied Scientist you will be responsible for* Research and development of algorithms that improve training of foundation models across pre-training, multitask learning, supervised finetuning, and reinforcement learning from human feedback
* Research and development of novel approaches for anomaly detection, root cause analysis, and provide intelligent insights from vast amounts of monitoring and observability data* Lead key science initiatives in strategic investment areas of AI/ML/LLM Ops and Observability
* Be an industry thought leader representing Amazon at top-tier scientific conferences
* Engaging in the hiring process and developing, growing, and mentoring junior scientistsA day in the lifeMentorship & Career Growth
Work/Life Balance

- 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
- Ability to translate informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.

- 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.
- Excellent written and verbal communication skills, with the ability to present complex technical information in a clear and concise manner to a variety of audiences.