Senior Machine Learning Engineer

🕒 August 28

🏈 Alabama, Florida, +26 more states – Remote

🏈 Alabama – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🗻 New Hampshire – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

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Revecore

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

☁️ SaaS

🤝 B2B

Healthcare • SaaS • B2B

Revecore is a healthcare revenue recovery company that combines proprietary AI, claims intelligence, workflow automation, and clinical, legal, and reimbursement expertise to identify and recover missed revenue for hospitals and health systems. Their ReClaim™ platform and network intelligence use machine-learning models and payor rule engines trained on hundreds of millions of claims to automate decisioning, prioritize recoveries, manage complex claims (VA, auto accidents, workers' compensation, Medicaid), denials management, underpayment recovery, and accounts receivable acceleration. Revecore operates HIPAA-compliant, SOC 2-certified infrastructure and serves over 1,300 hospitals, emphasizing outcomes like increased reimbursement, faster reimbursement, and high denial overturn rates.

📋 Description

• Enhance the productivity and efficiency of Revecore's underpayment business using machine learning, exploratory data analysis, and software engineering • Prioritize claims based on expected recovery dollars • Improve the claim-remit matching process • Own end-to-end development, training, deployment, evaluation, and improvement of machine learning systems to rank claim opportunities • Analyze and explore internal and third-party data to identify actionable opportunities • Research, implement, and launch new model architectures that drive business impact • Collaborate with software engineers, data engineers, subject matter experts, product managers, and analysts to design and build practical solutions • Implement cloud MLOps and AIOps best practices • Measure the impact of AI-enabled workflows on key business metrics and use measurements to improve models and workflows • Learn from and teach teammates • Serve as the technical lead for a workstream and partner with others to deliver it

🎯 Requirements

• Bachelor's degree in any data-centric field • Scientific thinking • Experience working in a similar role focused on machine learning or data science • Experience developing and deploying machine learning models in a production environment • Strong experience with Python, including scikit-learn • Ability to wrangle data, perform exploratory data analysis, and draw insights from visualizations • Must reside in the United States in an approved state listed in the posting • Eligibility to work in the United States • Successful completion of employment history verification and a background check • TensorFlow or PyTorch is a plus • Applied experience with contemporary NLP techniques and tools, such as entity extraction, transformers, and Hugging Face, is a plus • Experience with Spark is a plus • Experience operating ML pipelines in a cloud platform such as AWS, GCP, or Azure is a plus • A master's degree, Ph.D., or other experience demonstrating scientific thinking would be great

🏖️ Benefits

• Remote work from home • Quiet, distraction-free home work environment • Secure internet connection • Home internet speeds greater than 20 Mbps download and 10 Mbps upload • Workspace accommodating workstation equipment and related materials