. in computer science (preferred).
· building and owning large-scale machine learning models
· processing large datasets (predominantly text, but also images) and working with big data technologies, languages, and frameworks: scope, spark, sql, pytorch, tensorflow, python, c#, java
· designing experiments, setting up evaluations and producing trustworthy conclusions.
· 3+ years of experience in one or more ml/deep learning, nlp, ir, databases, and graph algorithms.
· 1+ years of experience in parallel or distributed cpu/gpu processing, high-performance computing, or stream computing.
· experience in deploying machine learning/deep learning models in azure/aws/gcp.
· experience with web applications and service architecture; web information extraction is a plus.
· strong desire to keep up to date with research and potential applications. vision for how to advance state of the art.
· successful candidates care about good software engineering practices, including version control, modular design, code quality, testing, and documentation.