Amazon System Development Engineer II Engineering Integration 

United States, Texas, Arlington 

551112697

As a Quantitative Researcher on our team, you will be working at the intersection of mathematics, computer science, and finance, you will collaborate with a diverse team of engineers in a fast-paced, intellectually challenging environment where innovative thinking is encouraged and rewarded.
Key job responsibilities
* Conduct statistical analyses on web-scale datasets to develop state-of-the-art multimodal large language models
* Conceptualize and develop mathematical models, data sampling and preparation strategies to continuously improve existing algorithms
* Identify and utilize data sources to drive innovation and improvements to our LLMs

- 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.