Senior Machine Learning Engineer - Systems

January 26

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AKASA

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AI • Machine Learning • Revenue Cycle Management • Hospital Operations • Healthcare

201 - 500

Description

• Participate in developing state-of-art machine learning solutions to address large scale healthcare problems • Design and build pipelines that collect, preprocess, and deliver data with a measurable quality • Write production-ready software with fast and efficient algorithms • Own machine learning services from end-to-end, including problem discovery, data pipeline development, model experimentation, and service deployment • Help build new machine learning prediction delivery systems - all of our products are built from the ground up with machine learning at their core, enabling us to deploy our predictions in new and interesting ways • Opportunity to quickly make an impact and becoming a leader on the ML team • Develop state-of-the-art machine learning algorithms across computer vision, natural language understanding, and structured data problems to solve problems like medical document entity extraction and claim outcome prediction

Requirements

• Master's degree in Computer Science or similar • 5+ years of work experience in machine learning or data engineering • Have experience launching production systems from the ground up • Proficiency in one or more programming languages such as Python and C++ • Development experience with big data technologies such as SQL and AWS/Cloud Platform • Knowledge of machine learning frameworks such as Pytorch and/or Tensorflow • Full-stack development experience for an end-to-end machine learning solution • Ideal experience with Natural Language Processing or Computer Vision

Benefits

• Unlimited paid time off (PTO) • Expansive coverage for health, dental, and vision • Employer contribution to Health Savings Accounts (HSA) • Generous parent leave policy • Full employee coverage for life insurance • Company-paid holidays • 401(K) plan