Amazon Sr Applied Scientist 

United States, California, San Francisco 

781738177

Key job responsibilities- Conduct hands-on data analysis, build large-scale machine-learning models and pipelines
- Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
- Provide technical leadership, research new machine learning approaches to drive continued scientific innovation- Help attract and recruit technical talent
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- 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.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.