Machine Learning Engineer

Added: 6/30/2022

REF: 18044

Contract: Permanent

Location: Cambridge, Massachusetts, United States

Company Overview:

  • Biotech startup that is a leader in gastroenterology 
  • Developing an application using proprietary AI tools to facilitate drug development
  • The software application supports physician decision making and helps to accelerate clinical trials
  • The software fits seamlessly into existing clinical workflows
  • Obtains data sets through partnerships and collaborations with research organization's

**Location: Remote or onsite in Boston/Cambridge MA**


  • Lead the development of cutting edge machine learning solutions.
  • Drive scalable and efficient designs for scheduling and resourcing machine learning training.
  • Design, code, evaluate and deploy solutions for disease prediction.
  • Supervise the execution of deliverables for the machine learning team.
  • Define best engineering and coding practice and strategy by reviewing projects for principles and content.

Minimum Requirements

  • MS (PhD preferred) degree in Computer Science, Machine Learning / Artificial Intelligence or related technical field with a strong background in theory and practice
  • 2 years industry experience including software development in Machine Learning, Deep Learning, ML infrastructure and working with large data sets and systems
  • Proficiency in general purpose programming languages, in particular Python and basic libraries for machine learning such as scikit-learn and pandas
  • Knowledge and experience with AWS ML and supporting services, cloud computing and Kubernetes
  • Knowledge of machine learning frameworks: Tensorflow, Pytorch, Keras, Scikit-Learn
  • Knowledge of industry-wide technology trends and best practices
  • You are a communicative person that values building good relationships with co-workers: can lead a team of engineers to meet product requirements set by the product team

Preferred Requirements

  • Experience in launching infrastructure and/or platform products in the market for scalable distributed systems
  • Experience building and deploying Machine Learning and Deep Learning solutions with excellent foundations of the underlying models


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