Responsibilities:

-You have experience reading, understanding and replicating state of the art machine learning research papers and you're able to go beyond it with your own original research when required.

-You're able to convert math / statistics / ML models of your own, or from a research paper into working code.

-You're able & willing to dive into the raw data to understand what's going on under the hood as needed.

-You're able & willing to do last-mile type ETL work to prep data for your experiments, models etc.

-You're passionate about learning and staying up-to-date on state of the art AI / ML research

-You're results driven

-You work well with others



Required:

-You have a masters or PhD in computer science, statistics, math or a quantitative / scientific STEM substitute like physics or chemistry

-You have research experience, either in an academic setting and / or as a data scientist in a business setting (but preferably both)

-You are an expert in machine learning, and have a deep understanding of most traditional machine learning models, as well as deep neural networks

-Experience with Python, GIT, and using open-source machine learning libraries such as Scikit-Learn, PyTorch, Keras, spaCy, NLTK, etc.



Preferred:

-You've published one or more papers on machine learning topics.

-You're an expert in NLP / NLU