Inspiren is a comprehensive solution for managing and optimizing operations in senior living communities. The platform enhances resident care by providing decision-grade data analysis for care planning, staffing optimization, and resident safety. Inspiren uses advanced technology, such as AUGi, to enable proactive care, improve workflow efficiency, and align care plans with resident needs. The technology's capabilities include real-time alerts for incidents and early risk flagging, tracking resident interactions, and monitoring staff effectiveness, thus ensuring high-quality resident care and operational efficiency.
2 - 10 employees
βοΈ Healthcare Insurance
βοΈ SaaS
π§ Wellness
π° $2.7M Venture Round on 2022-10
March 6
π California β Remote
π Florida β Remote
+7 more states
π΅ $220k - $250k / year
β° Full Time
π΄ Lead
π€ Machine Learning Engineer
Inspiren is a comprehensive solution for managing and optimizing operations in senior living communities. The platform enhances resident care by providing decision-grade data analysis for care planning, staffing optimization, and resident safety. Inspiren uses advanced technology, such as AUGi, to enable proactive care, improve workflow efficiency, and align care plans with resident needs. The technology's capabilities include real-time alerts for incidents and early risk flagging, tracking resident interactions, and monitoring staff effectiveness, thus ensuring high-quality resident care and operational efficiency.
2 - 10 employees
βοΈ Healthcare Insurance
βοΈ SaaS
π§ Wellness
π° $2.7M Venture Round on 2022-10
β’ About Inspiren: Inspiren was created to help operators forge thriving senior living communities. β’ We use a simple, streamlined platform that protects resident privacy, to optimize community operations at every step. β’ Our technology puts residents first, capturing insights on everything from revenue leakage to staff utilization. β’ We're looking for a Director of Machine Learning to lead our team into developing and implementing machine learning solutions that have a significant impact on our core business strategies. β’ You'll play a key role in guiding our highly skilled senior machine learning professionals and ML Ops personnel.
β’ 8+ years of professional experience in machine learning, software engineering, or a similar domain β’ 5+ years with machine learning algorithms, model development, and model deployment β’ 5+ years of experience with computer vision β’ 1+ years of experience with generative AI β’ 5+ years of demonstrated ability to provide technical leadership, mentor team members, and drive consensus among diverse stakeholders β’ 3+ years in advanced algorithm design and analysis β’ Proficiency in Python, R, or Scala languages for data science β’ Experience with TensorFlow, Keras, or PyTorch for neural network modeling β’ Ability to optimize machine learning models for performance β’ Proven track record of deploying machine learning models into production β’ Excellent communication and presentation skills, with the ability to explain complex ideas clearly and concisely β’ Proven ability to collaborate effectively in a cross-functional environment
β’ Equity β’ Medical, dental, and vision benefits β’ Flexible PTO
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