Principal Machine Learning Engineer


Job Description

Machine Learning Engineer (Principal

100% Remote 

Direct Hire 

Public relations and earned media software company is looking for a Principal Machine Learning Engineer to lead the development of machine learning systems that integrate with our products. This will require expert understanding of the machine learning project lifecycle, the ability to write highly-performant code, and an excellent understanding of software engineering best practices.



  • Architecting various machine learning systems
  • Setting up and running distributed training and inference cycles using AWS Sage Maker
  • Building scalable ETL pipelines using various AWS services like S3, EMR, Lambdas, etc.
  • Building model inference pipelines to better understand the efficacy of models in production or for compliance reporting
  • Searching for open-sourced models to solve various NLP tasks


  • Lead the design, build and deployment of machine learning systems
  • Work independently to build tools and services to improve the machine learning processes
  • Work closely with Data Scientists, Product Managers and other Engineers to translate prototypes into production systems
  • Design large scale data processing pipelines
  • Contribute to team’s technical vision, as well as design and direction for marquee features
  • Demonstrate sound judgement in taking risks, managing workload and escalating issues & concerns
  • Provide mentorship and guidance to others on numerous aspects of software development as it relates to machine learning and data science as needed


  • Minimum of 10 years of professional experience, preferably in a software development environment
  • Minimum of 5 years of experience productionalizing advanced mathematical and statistical techniques to business problems
  • Expertise in building production ML software both in batch & in real-time

  • Equal Opportunity Employer/Veterans/Disabled

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    Job Requirements