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Start your next chapter atRevecore! For over 25 years,we'vebeen at the forefront of specialized claims management, helping healthcare providers serve more patients by helping them recover more revenue.We'repowered by people, driven by technology, and dedicated to our clients and employees. Ifyou'relooking for a collaborative and diverse culture witha great work/life balance, look no further.

RevecorePerks:

• 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) atRevecore, you will:

Use yourexpertisein 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. Youwon'tbe creating dashboards or pivot tables. Youwon'tjust build POCs. Our team increases revenue and decreases costs: you will deploy your work and see the results as we increase our clienthospitals'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 toidentifyactionable 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 cloudMLOpsand AIOps 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.

Learn from and teach your teammates. You will be theteam'sexpert in your specialization, and you will learn from experts in theirs.

Own a workstream.You'llbe the technical lead for the workstream, partnering with others to deliver.You'llalso work on other projects, but this workstream will be one of your key successes.

You'llbe successful if you have:

An urge to question assumptions, and to get it right (or at least good enough) even if your first idea is wrong.

A commitment to collaborate, rather than go off in a corner only to appear when you need tosubmita pull request.

A bachelor's degree in any data-centric field. Scientific thinking isa must.

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.

Strong experience with Python, including scikit-learn. TensorFlow orPyTorchis a plus.

Ability to wrangle data, perform exploratory data analysis, and draw insights from visualizations.

It would also be great if you have:

Intuitionaboutdata developed by doing statistics and/or research.

Applied experience with contemporary natural language processing (NLP) techniques and tools (e.g., entity extraction, transformers, HuggingFace).

Experience with Spark.

Experience with operating ML pipelinesina cloud platform (e.g., AWS, GCP, Azure).

A master's degree, Ph.D., or other experiencedemonstratingscientific thinking.

As part of our team,you'llbe 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.

Work at Home Requirements:

A quiet, distraction-free environment to workfrom inyour home.

A secure home internet connection with speeds >20 Mbps for downloads and >10 Mbps for uploads isrequired.

The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.

Revecoreis 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.

Revecoreis 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. Wewelcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.

Mustresidein the United Stateswithin one of the following states:

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, or West Virginia.