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Machine Learning (ML) Engineer


This is a Full-time position in Fort Collins, CO posted November 24, 2021.

Our Company is shaping the next generation of diagnostic healthcare tools to help patients around the globe.

By using AI and deep learning, we help Radiologists identify diseases and medical issues more accurately and earlier.

We believe we are working on one of the biggest social impact opportunities in healthcare and are deploying our technology around the globe.

Our Company is attacking the hard high-value challenges facing healthcare, by developing solutions others are afraid too.

We have dedicated our time in the development of impactful healthcare solutions.

We have been featured on TED, CNN, WSJ, NYTimes, Inc, Fortune, named 5th smartest AI company by MIT Tech Review.

Opportunity Overview

We are looking for a Machine Learning (ML) Engineer to join our growing team in Fort Collins, CO.

A successful candidate will have experience in building production-ready models, but who also has a desire to execute research projects.

Our data science team is building cutting-edge revolutionary critical care solutions using various fields of study in AI.

We are applying state of the art ML, CV, DL and NLP techniques.

At Enlitic, you will be part of a global effort to create a coherent, vibrant, Healthcare IT focused, AI ecosystem.

You will play a key role in driving the success of our customers using our products and services to run their business.

Since the position is so central to overall healthcare continuum of care efforts, you will partner closely with Product and Engineering teams across Enlitic.

This role requires strong interaction with cross-functional teams and will provide tremendous opportunity for visibility across all of engineering and Data Science at Enlitic.


  • Relocation Assistance


  • Bachelor Degree in Computer Science, Computer Engineering, Physics, Applied Mathematics, Systems Engineering, Electrical Engineering or other related degree or experience


  • 2+ years of relevant experience in NLP
  • Experience in healthcare AI/ML a plus
  • You should have dealt with large amounts of data (TB) in a production setting and built distributed data processing in Hadoop, Spark, BigQuery, or Apache Beam
  • Experience with Open-source ML frameworks (e.g.

    Tensorflow, TFX, PyTorch)

  • Experience with Cloud technology stacks (e.g.

    GCP or AWS and their product offerings)

  • Strong understanding of probability & statistics, and/or machine learning, and algorithms
  • Experience with SQL and NoSQL databases
  • Experience working with Linux, shell scripting
  • Experience with distributed systems, performance optimization and improving their resilience
  • Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
  • Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
  • 2+ years professional software development experience
  • Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
  • Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems


  • Architect, design, develop, and extend high performance, test-driven code that meets requirements and is scalable and maintainable
  • Architect and develop solutions that are highly scalable and cost effective
  • Build on and maintain an existing code base as well as new components; maintain production code and contribute to deployment and QA processes
  • Participate in prioritization, estimation, and sprint planning
  • Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules
  • Create, implement, and iteratively improve on natural language processing methods
  • Collaborate with AI team for feature stores for model building
  • Communicate within the team on project status / blockers to get help when needed and render aid when able
  • Adhere to security and data protection policies
  • Review processes and recommend changes to improve operations
  • Build and integrate end to end lifecycles of large-scale, various distributed ML Models
  • Train, evaluate, and debug ML models for complex tasks
  • Develop tools and services for improving ML systems beyond modeling choices —data distribution editing, data quality improvements, and representation learning with self-supervision
  • Collaborate with engineers across functions to solve complex data problems at scale
  • Identify and evaluate new patterns and technologies to improve performance, maintainability, and elegance of our ML Solutions and models
  • Health, vision, and dental insurance
  • Company paid Short Term Disability
  • Company paid Long Term Disability
  • Company paid employee Life Insurance
  • Up to 10% 401k match
  • Unlimited PTO
  • $180 a month health and fitness stipend


  • Competitive Salary with Bonus
  • Equity

We celebrate diversity at our company and are proud to be an equal opportunity employer.

We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, gender identity, or disability status.

We understand that to hire the best talent, we need to search the globe.

We encourage our employees to be themselves and require tolerance and acceptance among our diverse talent.