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A leading company in clinical AI is seeking an Engineering Manager to lead a senior team in enhancing their ML Platform and Ecosystem. The ideal candidate will foster team performance and drive strategy for MLOps, ensuring quality in software development while working remotely from anywhere in the US.
We’re looking for a highly technical Engineering Manager to lead a senior team of engineers building our ML Platform and Ecosystem. The ideal candidate for this role is passionate about developer and data science efficiency through excellent planning, techniques, and architectures and is also able to jump into tough problems to help resolve them.
SmarterDx builds clinical AI that empowers hospitals to achieve 100% chart accuracy for revenue integrity. Our solution helps hospitals tell the most accurate and complete story of the patient and the care that was delivered, which helps them recover millions in earned revenue and improve quality of care scores. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers .
**This role is fully remote within the US**
What You’ll Do
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$220-270k base + equity incentives
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Will you now or in the future require SmarterDx to file a petition or application for employment-based visa status on your behalf to begin or continue employment with our company? If you are a US citizen, your answer to this question should be "no." If you are not a US citizen and you have non-immigrant status, for example F-1 or H-1, your answer to this question should be “yes.” Please note that we regretfully cannot provide sponsorship for new employment-based visa status at this time. * Select...
This role is remote, however, you must currently reside in the United States in order to be considered. Do you currently reside in the United States? * Select...
As part of our hiring process, you will be asked to complete a background check once an offer of employment has been accepted. Are you willing to complete a background check? * Select...
Have you managed a full model implementation on the MLOps side? If so, what did that model do (can be a very broad business-based outcome goal)? *