Applied Machine Learning Engineer

Added: 28/01/2021

REF: 8050

Contract: Permanent

Location: new york, New York, United States

Machine Learning Engineer

As our Machine Learning Engineer, you will collaborate with other data scientists, as well as members of the platform engineering team in order to execute cutting-edge machine learning techniques to find fraud, waste, and abuse in healthcare data.  Your goal is to train and test models on millions of data-points, and help build-out a state-of-the-art human-in-the-loop ML infrastructure. 

In this role, you will report directly to the Head of Data Science at our New York City headquarters. This role will be remote until it is safe to return to the office. You will collaborate with other data scientists, as well as members of the platform engineering team. You will also engage in daily interactions with domain experts on the payment integrity team. 

What you'll do: 

  • Write production-level machine learning models 

    • Executing cutting-edge machine learning techniques to find fraud, waste, and abuse in healthcare data. 

    • Making infrastructural choices in order to ensure that the trained models scale well across millions of health insurance claims 

    • Training large-scale, weakly-supervised ML models using tools like Snorkel. Making sure these models are interpretable. 

    • Experimenting with transformer model applications using the Pytorch / Tensorflow libraries. 

What you'll need: 

  • Background 

    • Standard knowledge of Python data-science stack  

    • 5+ years in software engineering experience 

    • Hacker mindset 

    • Experience building out production-ready machine learning solutions  

    • new opportunities. Displays a can-do attitude in good and bad times. Steps up to handle tough issues. 

  • Nice To Have 

    • Exposure to PySpark, PyTorch, Snorkel  

    • Experience working in a fast-paced, innovative environment 

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