learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - 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. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯
learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - 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. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯
a similar area. Experience in applying machine learning techniques to life science applications and datasets. Strong data processing and analysis skills. Confident coding in python and using common libraries (numpy, pandas, sklearn, pytorch/tensorflow, etc.) Experience building robust ML and data science pipelines. Experience with git version control, with familiarity of different branching and merging strategies. Compensation & Benefits At More ❯
