Machine Learning Engineer: Senior Staff

Remote- United States

Full Time Senior-level / Expert
CareRev logo


CareRev is a marketplace technology that connects hospitals and health systems with local, flexible healthcare professionals.

View all employer listings

Apply now Apply later

CareRev is bringing the future of work to Healthcare! We are developing a robust marketplace that connects trusted Healthcare professionals to relevant per diem shift opportunities. We are working to change the traditional relationship between Healthcare professionals and Healthcare facilities alike, aiming to build a future that ensures people who work in Healthcare have better tools and are empowered to be the healers they want to be. 

The Data Science team is pioneering the machine learning product offerings for CareRev. We are looking for passionate machine learning leaders that want the opportunity to own, define, and shape the future of machine learning for CareRev and ultimately for patient care. Your focus will be to work closely with Data Engineers and DevOps Engineers to begin the build-out phase of our end-to-end machine learning pipelines using the latest technologies including Deep Learning, NLP, and OCR. This role reports to the Director of Data Science in an individual-contributor capacity.

What You’ll Do:  

  • Become a thought leader for machine learning best practices when it comes to development, versioning, deployment, testing, and evaluation to provide new ideas to the company.
  • Create and define scalable machine learning pipelines using microservices methodologies while writing production code to perform research, training, tuning, serving, CI/CD, and monitoring.
  • Research and develop Deep Learning technologies to improve the performance and evaluation of unsupervised/supervised models, including LTSM, RNN, CNN, RL, and Bayesian Deep Learning.
  • Utilize Tensorflow, Pytorch, Spark, AWS Sagemaker, GPU’s, NoSQL/SQL and to develop and deploy machine learning models into a production environment
  • Collaborate and connect across functions to improve and learn from team members in a fast-pace environment.

What We’re Looking For:  

We understand not all people fit the mold, so if you think you do not fit the mold, yet up to the challenge, please apply.

  • 4 to 6 years writing machine learning production code for customers
  • Experience with creating end-to-end machine learning pipelines using containerization in AWS to improve client-facing products
  • Experience with Tensorflow, Pytorch, Airflow, Kubernetes, Docker, Microservices,REST API’s, Python, NoSQL/SQL, and Snowflake
  • Experience with designing database schemas for machine learning pipelines to track model performance and to create feature stores
  • Experience mentoring external and internal teams in machine learning best practices
  • MLOps experience desired
  • Start-up experience and non-traditional backgrounds are a big plus
  • No travel required

A Few Reasons to Consider Us:

  • 100% remote company
  • Comprehensive medical, dental, and vision benefits
  • Short term disability 100% covered by CareRev
  • Life insurance covered by CareRev
  • Paid parental leave
  • Generous paid holidays & unlimited PTO
  • 401K and company match
  • Office equipment stipend
  • Learning reimbursement program

CareRev is putting transparency, fairness, and trust back on the table. We deeply value changing the world for the better!  To date, CareRev has raised $50M in funding to further our mission. In addition, CareRev has a fantastic group of investors, including Transformation Capital, top Healthcare VC firms, Y Combinator partners, and alumni. 

CareRev is an equal opportunity employer and will not discriminate against any employee or applicant for employment in an unlawful manner. We celebrate diversity and are committed to creating an inclusive environment for all individuals. CareRev treats all employees and job applicants based on merit, qualifications, and competence without regard to any qualified individuals' sex, race, color, religion, national origin, ancestry, gender (including pregnancy, breastfeeding, or related medical condition), sexual orientation, gender identity, gender expression, age, physical or mental disability, medical condition, genetic characteristic or information, marital status, military, and veteran status, or any other characteristic protected by state or federal law. CareRev also considers qualified applicants with criminal histories consistent with applicable local, state, and federal law.


Job region(s): Remote/Anywhere North America
Job stats:  0  0  0
  • Share this job via
  • or

Explore more AI/ML/Data Science career opportunities