Machine Learning Engineer - Provider Products (USA)

Machine Learning Engineer - Provider Products (USA)

Olive’s AI workforce is built to fix our broken healthcare system by addressing healthcare’s most burdensome issues -- delivering hospitals and health systems increased revenue, reduced costs, and increased capacity. People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data. Olive is designed to drive connections, shining a new light on the broken healthcare processes that stand between providers and patient care. She uses AI to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive’s vision is to unleash a trillion dollars of hidden potential within healthcare by connecting its disconnected systems. Olive is improving healthcare operations today, so everyone can benefit from a healthier industry tomorrow.

Provider Products addresses healthcare providers’ challenges in Revenue Cycle, Patient Access, Supply Chain, Pharmacy and Clinical with the mission of building the Healthcare AI Workforce of the future and implementing the Internet of Healthcare. Provider Products has a robust set of products and technologies, at varying stages of development, deployment and customer adoption.

As Olive’s customer-facing machine learning team, Applied ML partners with providers to build first-of-their-kind models and machine learning systems that remove administrative burden and help healthcare workers focus their effort where it's needed most. We navigate the chaos inherent in healthcare data to make sense of complex systems built on an ever-evolving landscape, and deliver automated solutions within providers’ existing workflows.



What You’ll Do:

  • Develop algorithms, modeling techniques and tools to streamline Applied ML’s training processes
  • Partner with leading healthcare experts to optimize the value of clinical, claims and administrative data to address use cases across all of Provider Products’ functional areas
  • Apply best-practices for data collection and labeling techniques for training machine learning models
  • Architect machine learning pipelines to automate model retraining and deployment
  • Implement mechanisms to automatically monitor and assess the quality of machine learning models hosted on our cloud platform
  • Create production-grade software systems utilizing up-to-date software engineering and agile best practices
  • Continuously learn and develop your expertise in machine learning

As a Machine Learning Engineer, you should have:

  • Intense curiosity and be humble in the face of new information.
  • Seek out creative ways of measuring success, and meet contradictions in the data with the excitement of someone who knows they’re about to learn something new.
  • Solid grounding in core machine learning and applied statistical concepts and techniques.
  • Experience with data collection, aggregation and labeling.
  • High proficiency in Python. Experience with Sagemaker, iPython Notebooks (Jupyter) and Spark a plus.
  • Strong ability to communicate findings to technical and non-technical audiences.
  • Experience building production machine learning models, and deploying them to solve real-world challenges at scale.
  • Familiarity with agile project management. Experience with Jira a plus.
  • Bachelor Degree in Computer Science, Computer Engineering, Physics, Applied Mathematics, Systems Engineering, Electrical Engineering or other related degree or experience

Preferred Skills/Experience Nice to Have:

  • Experience with Python ML tools: Keras, Pandas, Tensorflow 2+, scikit-learn, py/Flask, spacy and Numpy
  • Understanding of Continuous integration, testing, deployment & release methodologies
  • Healthcare experience and EHR knowledge


At Olive, we're committed to growing and empowering an inclusive community within our company and industry. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. Research shows that oftentimes women and other minority groups only apply to open roles if they meet 100% of the listed criteria. Olive encourages everyone — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community — to apply for our available positions, even if they don't necessarily check every box on the job description.


#LI-remote

We take the health and happiness of our employees seriously and consistently evaluate new ways to provide an amazing place to work. From retirement planning, to a wellness program designed to actively incorporate mental and physical wellness into daily interactions amongst fellow Olivians, we make sure to take care of our own.

  • Health, Dental, and Vision insurance that starts on your first day at Olive with 100% of premiums covered for team members and 75% covered for dependents
  • Monthly Grid stipend to cover work related expenses
  • Unlimited PTO
  • Telemedicine
  • EAP/Mental health resources
  • Getaways by Marriott Bonvoy
  • Family-building and fertility support via Kindbody
  • 12 weeks of parental leave
  • 401(K) match
  • Wellness program
  • Stock Options
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