Job description
CareRev is bringing the future of work to Healthcare! CareRev's mission is to build a sustainable future for healthcare professionals. CareRev is a modern marketplace platform offering professionals the freedom to choose how and when they work, tools and training to develop their careers, and personalized growth opportunities.
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.
7+ 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 in recommendation systems, ranking, or related areas
Familiarity with designing database schemas for machine learning pipelines to track model performance and to create feature stores
Familiarity 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.
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