Machine Learning Engineer

Company Description

Onehot Labs harnesses machine learning and natural language processing to build products that make medical billing and reimbursement more efficient and cost-effective. By reducing human error, eliminating paperwork and streamlining medical billing processes, our solutions help doctors spend more time taking care of patients and allow patients to spend less time worrying about their medical bills. We are innovators, experimenters, lifelong learners, and free thinkers who strive to have a positive impact on the world around us and are working together to create a company that we all want to work at. Our pioneering tech is in use in all 50 states, and we review clinical documentation for over 1,000,000 unique patient encounters each week. Our company is already profitable allowing us to offer a wide range of “big company” benefits such as 401k, Health, Dental, Vision, HSA, FSA & more!

Opportunity

Ready to build on the cutting edge? Excited to work with massive amounts of medical data? Looking for the freedom to innovate and solve problems that matter? We are a small team united by our intellectual curiosity and passion for making a positive impact on our healthcare system.

We are looking for exceptional ML Engineers to work closely with our founding team as we develop scalable algorithms and tools to change the way medical billing is performed. As a Machine Learning Engineer, you will:

• Design and build customized, end-to-end machine learning systems incorporating cutting-edge research techniques to the healthcare industry.
• Develop innovative data labeling systems leveraging semi-supervised and unsupervised methods.
• Create tools to help improve the interpretability of our models.
• Gain exposure to novel research problems and make a huge impact as we launch new products.

Requirements

The ideal candidate will have experience developing both software applications and a range of machine learning models with a strong desire to participate in cutting edge research in machine learning applications. The position will involve taking these skills and applying them to massive healthcare data to develop solutions for real world, large scale problems. We need our engineers to be versatile, display leadership qualities and be enthusiastic to tackle new problems as we continue to push technology forward.

• MS/Ph.D degree in Computer Science, Machine Learning or related technical field
• Programming Experience with one or more general purpose languages: C, C++, Python
• Proven ability to translate insights into business recommendations
• Large-scale Machine Learning experience on cloud infrastructure (TensorFlow + GCP is a plus)
• Exposure to one or more of the following: Natural Language Processing, text understanding,
  classification, pattern recognition, recommendation systems, ranking systems or similar.
• Have an imagination, ambition, and intense curiosity. Be innovative. Skilled in communication.
• Ability to thrive in a dynamic and fast paced environment.