Revecore

Senior Machine Learning Engineer

Remote, USPosted 3 days ago

Job Description

Start your next chapter at Revecore! For over 25 years, we've been at the forefront of specialized claims management, helping healthcare providers serve more patients by helping them recover more revenue. We're powered by people, driven by technology, and dedicated to our clients and employees. If you're looking for a collaborative and diverse culture with a great work/life balance, look no further.

Revecore Perks

  • We offer paid training and incentive plans
  • Our medical, dental, vision, and life insurance benefits are available from the first day of employment
  • We enjoy excellent work/life balance
  • Our Employee Resource Groups build community and foster a culture of belonging and inclusion
  • We match 401(k) contributions
  • We offer career growth opportunities
  • We celebrate 12 paid holidays and generous paid time off

Location: Remote – USA

As a Senior Machine Learning Engineer (individual contributor) at

Revecore, you will:

Use your expertise in machine learning, exploratory data analysis, and software engineering to enhance the productivity and efficiency of our underpayment business. You will work on projects with purpose, such as prioritizing claims based on expected recovery dollars and improving our claim-remit matching process.

This is a modeling team that owns the model deployment process. You won't be creating dashboards or pivot tables. You won't just build POCs. Our team increases revenue and decreases costs: you will deploy your work and see the results as we increase our client hospitals' revenue.

The Role

Own end-to-end development, training, deployment, evaluation, and improvement of machine learning systems to rank claim opportunities. Analyze and explore data to identify actionable opportunities from internal and 3rd party data. Research, implement, and launch new model architectures that drive business impact. Partner and collaborate with cross-functional teams of software engineers, data engineers, s...

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