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Machine Learning Engineer

Machine Learning Engineer

  • Location

    Boston, Massachusetts

  • Sector:

    Machine Learning Engineering

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Matthew Ferdenzi

  • Contact email:

    mferdenzi@understandingrecruitment.com

  • Job ref:

    BBBH6244_1566224040

  • Published:

    about 1 year ago

  • Expiry date:

    2019-09-18

  • Startdate:

    ASAP

  • Consultant:

    #

Machine Learning Engineer (Neural Networks, Python, Distributed Systems)

We are very eager for a Machine Learning Engineer (Neural Networks, Python, Distributed Systems) to join our early-stage startup. We are one of the fastest-growing AI healthcare startups in Boston on a mission to use the latest Machine Learning research to help Doctors do their job in the most effective way possible. As a Machine Learning Engineer in our company, you will be at the intersection of Core Engineering and the latest in NLP & Deep Learning research.

As a Machine Learning Engineer, you will join us build out our ambitious platform which looks to reduce the number of time doctors have to spend on paperwork, ultimately allowing them to free up their workload and help treat more patients. Our team is comprised of people from top backgrounds (MIT, Yale) in Machine Learning Research, Operations, Healthcare, and Engineering. In addition, our founder has a strong track record of successfully taking several startups to IPO within healthcare, so it is an opportune time to join our team.

Realistically, we need a Machine Learning Engineer who is strong with system design, ML Infrastructure and Python/Java programming.

What we can offer a Machine Learning Engineer:

· A fast-paced startup environment who are focused on changing lives with NLP/ML.

· A positive culture with no red tape or corporate bureaucracy!

· An innovative environment which wants to tackle real-world problems.

· Very competitive salary.

Key Skills: Machine Learning Engineer, Software Developer, Software Engineer, Microservices, AWS, system design, Machine Learning, Restful APIs, Neural Networks, NLP, Statistics, Mathematics, Optimization, J2EE, BDD/TDD, CI/CD.