🇺🇸 Machine learning job: Senior Machine Learning Engineer (Remote) at Team Go (work from anywhere in US!)

You will primarily work on our text categorization and scoring models using tools like SpaCy, Spark NLP, Textacy, Gensim, Sci-kit Learn, and Tensorflow. In this role, you'll work with a modern data stack and a serverless streaming data architecture. Our stack can be described as a collection of microservices using tools such as AWS Lambda, Kinesis Firehose, AWS S3, AWS Glue, Amazon Athena, API Gateway, SageMaker, Mode Analytics, and Spark [Databricks]. About You You have a BS or higher in Computer Science, Mathematics, Statistics, Economics or other quantitative field You have at least two years of experience working on applied machine learning systems in production cloud environments (AWS, Google Cloud, etc) You have experience along the entire machine learning product lifecycle, from initial data ingest and data prep, through to modeling and creating REST API endpoints or managing batch inference workloads, and subsequently monitoring model performance and evaluating drift. You're technically competent with the Python data science ecosystem (Pandas, Numpy, SciPy, Sci-kit, Jupyter); Apache Spark, and associated frameworks (Spark NLP, Spark Streaming, Spark MLlib); and Tensorflow/Keras.