Staff Machine Learning Engineer

Our Company: Start your next chapter at Revecore! For over 25 years, we’ve been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. 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. As part of our team, you’ll be rewarded with: Comprehensive medical, dental, vision, and life insurance benefits from the start of your employment 12 paid holidays and flexible paid time off 401(k) contributions Employee Resource Groups that build community Career growth opportunities An excellent work/life balance Location: Remote – USA As a Machine Learning Engineer at Revecore, you will: Be responsible for driving our AI-enabled workflow program. In this role, you will leverage your expertise in machine learning, data analysis, and software engineering to enhance the productivity and efficiency of our underpayment business. You will have the opportunity to work on exciting projects, such as prioritizing claims based on expected recovery dollars, identifying root causes, and improving our claim-remit matching process. This is a great opportunity to contribute to the digital transformation of Revecore and make a significant impact on our business and the healthcare industry. The Role:Own end-to-end development, training, productionization, 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, subject matter experts, product managers and analysts to design and build practical solutions.Implement MLOps best practices to streamline the development, deployment, and maintenance of machine learning models.Continuously measure the impact of the AI-enabled workflows on key business metrics and use these measurements to improve the machine learning models and workflows.You’ll be successful if you have:Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.Experience working in a similar role, with a focus on machine learning or data science.Experience, developing, and deploying machine learning models in a production environment.Experience with scikit-learn, TensorFlow, PyTorch, in Python and/or Scala.Ability to wrangle data, perform exploratory data analysis, and draw insights from visualizations.Applied experience with contemporary natural language processing (NLP) tasks, techniques, and tools (e.g., entity extraction, seq2seq modeling, transformers, hugging face).It would also be great if you have:Experience with Spark.Experience with operating ML pipelines in a cloud platform (e.g., AWS, GCP, Azure)A Master's degree or Ph.D.Work at Home Requirements:A quiet, distraction-free environment to work from in your home. A secure home internet connection with speeds >20 Mbps for downloads and >10 Mbps for uploads is required. The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive. Revecore is an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status. We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply. Revecore is an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status. We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply. Must reside in the United States within one of the states listed below: Alabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, and West VirginiaOriginally posted on Himalayas

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