Machine Learning Engineer (startup)

  • Location


  • Sector:

    Data Science

  • Job type:


  • Salary:

    Circa $130,000

  • Contact:


  • Contact email:


  • Job ref:

    AAJR 4939

  • Startdate:


  • Consultant:

    Jason Rumney

A fast growing Healthtech startup are on a mission to understand and structure the world’s medical data.

With current funding, they are looking to add a Machine Learning Engineer to join the team, ideally, someone who can not only design machine-based systems but also think creatively about the human interactions necessary to augment and train those systems.

In the role you will:

  • Develop NLP systems that help us structure and understand biomedical information
  • Work with a range of structured and unstructured data sources
  • Design and build customized, large-scale cloud-based machine learning systems 
  • Design innovative data-acquisition and labelling systems, leveraging tools & techniques like crowdsourcing and novel active learning approaches

Skills include: 

  • Industry or academic experience working on a range of ML problems, particularly NLP
  • Expert software development skills with a focus for building sound and scalable ML.
  • Excitement about taking cutting-edge technologies and techniques to one of the most important and most archaic industries.
  • A passion for finding, analyzing, and incorporating the latest research directly into the production environment.  
  • Good intuition for understanding what good research looks like, and where we should focus effort to maximize outcomes

Bonus points if you have experience using:

  • Deep learning frameworks like TensorFlow or Theano
  • Open-source NLP toolkits like Stanford CoreNLP or OpenNLP
  • Developing and improving core NLP components--not just grabbing things off the shelf
  • Managing large-scale crowd-sourcing data labelling and acquisition (Amazon Turk, Crowdflower, etc.)
My client are looking to offer a base salary of up to $130,000 plus equity. To find out more please get in touch on jason@intelletec.com