Staff Machine Learning Engineer

About Inspiren 

Inspiren was created to help operators forge thriving senior living communities.

We use a simple, streamlined platform that protects resident privacy, to optimize community operations at every step. Our technology puts residents first, capturing insights on everything from revenue leakage to staff utilization, while providing an extra layer of oversight, as an extension of your care team.

We know that balancing operations takes time and effort, not to mention careful coordination of many parts – that’s why we offer seamless solutions to guide stronger care decisions. Because while you can’t control any specific event, we believe that data can power communities to live and work better.

Keeping your residents healthy and your staff productive is easy with Inspiren.

Smarter care, on every wall. One room at a time. 

About the Role

As a Staff Machine Learning Engineer, you will lead the design, development, and deployment of complex machine learning solutions that drive critical business outcomes. You will be a key technical leader, collaborating with cross-functional partners (Data Science, Product, Engineering, Analytics) to create scalable systems and deliver high-impact projects. You will also mentor and guide other engineers, contributing to a culture of technical excellence and innovation.

What you’ll do:

• Design and develop advanced algorithms to address complex business challenges. Research and implement cutting-edge machine learning models and techniques. Prototype new models and evaluate their performance through simulation.
• Optimize machine learning models to achieve faster speed and greater efficiency. Implement feature selection and engineering techniques to boost model performance.
• Evaluate machine learning models to ensure they deliver accurate and relevant results. Set clear success benchmarks and diligently monitor performance against these criteria.
• Provide technical guidance and mentor junior machine learning engineers. Lead and collaborate with cross-functional teams to resolve complex data challenges effectively.

About you:

• 8+ years of professional experience in machine learning, software engineering, or a similar domain
• 5+ years with machine learning algorithms, model development, and model deployment
• 3+ years in advanced algorithm design and analysis
• Demonstrated ability to provide technical leadership, mentor team members, and drive consensus among diverse stakeholders.
• Proficiency in Python, R, or Scala languages for data science
• Experience with TensorFlow, Keras, or PyTorch for neural network modeling
• Familiarity with model evaluation metrics and validation strategies
• Ability to optimize machine learning models for performance
• Proven track record of deploying machine learning models into production
• Documented experience improving model scalability and efficiency
• History of developing innovative solutions using machine learning
• Excellent communication and presentation skills, with the ability to explain complex ideas clearly and concisely.
• Proven ability to collaborate effectively in a cross-functional environment.

Details

• The annual salary for this role $225-$250k + equity + benefits (including medical, dental, and vision)
• Flexible PTO
• Location: Remote, US, Canada
• Join our team and make a meaningful impact on patient care by enabling healthcare organizations to adopt and leverage AUGi to its full potential. Apply today to become a part of our customer success team!
• Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.