Machine Learning Engineer (Replica Analytics)

New York, NY, United States, Remote- International, Remote - US

Full Time Senior-level / Expert USD 45K - 150K *

Machine Learning Engineer (Replica Analytics was recently acquired by Aetion)

About the role:

Working at Replica Analytics is an opportunity to advance health care, AI and privacy at the same time – three of the hottest topics in the world today. Our Advanced Technology Engineering group builds and maintains services that power Replica Analytics’ synthetic data generation software. If you enjoy a highly interdisciplinary, innovative and supportive environment, this may be the right job for you.

We are hiring Software Engineers to:

  • Collaborate with our Data Science and Replica Synthesis Product teams to integrate methods and technologies developed by Data Science into production software.
  • Measure and ensure accuracy of Replica Synthesis analytics features.
  • Evaluate and improve existing Replica Synthesis analytics features


We are looking for individuals to develop robust, scalable, and maintainable production software.  We are looking for a:

  • Self-starter with experience developing software, processing big data, and implementing machine learning / deep learning models.
  • Strong communicator with the ability to understand data science concepts and express software design ideas.
  • Strong interest in working with a remote team and a willingness to ask questions and share information with the rest of the team.
  • Dedication to detailed testing and delivering high quality software.

A Machine Learning Engineer at Replica Analytics usually has 2-4 years of experience in some of the following areas:

  • Building backend software applications in Python
  • Automated software testing (unit, integration, behaviour)
  • Experience with data analysis frameworks (Pandas, Numpy)
  • Experience with machine learning frameworks (Scikit Learn, LightGBM)
  • Experience with deep learning frameworks (PyTorch, Tensorflow)
  • Experience with distributed computing (Ray, Spark)
  • Experience with SQL and ETL tools
  • Background in statistics or computational mathematics

About Aetion:

  • Lead at all levels – Aetion is a diverse workforce of scientific thought leaders and technological innovators coming together with a vision to dramatically improve the Healthcare industry. Aetion supports and maintains a presence in organizations such as ISPOR, ISPE, ASHP, and HIMSS. 
  • Located in three cities — We have offices located in Midtown Manhattan near Penn Station, Boston's financial district, and Los Angeles. All locations are accessible by various forms of public transportation.
  • Social and energetic offices – with a modern layout, and a giant kitchen and eating/social area. We have an open floor plan with an abundance of conference rooms, designed for impromptu collaboration, company gatherings, and industry meetups and events. 
  • Great perks – We offer competitive salaries, top-of-the-line benefits, company ownership stock options, unlimited vacation, and 401(k) match
  • Company Accolades – Aetion is the recipient of numerous prestigious awards:

Aetion is an Equal Opportunity Employer. Aetion is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information.

* Salary range is an estimate based on our salary survey at

Tags: Big Data Data analysis Databricks Deep Learning Engineering ETL LightGBM Machine Learning NumPy Pandas Python PyTorch Spark SQL Statistics TensorFlow Testing

Perks/benefits: 401(k) matching Career development Equity Health care Team events Unlimited paid time off

Regions: Remote/Anywhere North America
Country: United States
Job stats:  16  5  0
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