Sr. Machine Learning Engineer at Strive Health

At Strive Health, we are on a mission to fundamentally reshape the kidney care system. We believe that by combining high-touch clinical care with advanced data analytics, we can transform the lives of patients navigating chronic or end-stage kidney disease. Our team works to identify at-risk individuals early, reducing the need for emergency interventions and improving overall patient outcomes. We are looking for passionate individuals to join our journey as we set a new standard for healthcare and build a destination for top talent in the industry.

The opportunity

As a Senior Machine Learning Engineer, you will play a pivotal role in our mission by building commercial-grade technology that operates our kidney care services at scale. Our data platform bridges the gap between various healthcare systems, providing our clinicians with actionable insights. You will be at the heart of our machine learning strategy, taking ownership of the design and implementation of scalable MLOps solutions that turn complex data into life-changing care.

A day in the life

• You will design and deploy robust MLOps tooling that manages the entire lifecycle of our models, including training, monitoring, and inference.
• You will lead the effort to bring new AI and ML models into production, ensuring they are scalable and reliable.
• You will serve as a mentor for the broader technology team, helping to elevate our collective understanding of machine learning practices and modern tooling.

Who you are

You are a seasoned professional with a strong background in applied machine learning and data science. You thrive in agile environments and have a deep technical toolkit that allows you to solve complex business problems. We are looking for someone who possesses the following:

• At least five years of experience in a healthcare or technology-related field, specifically within an applied ML or data science role.
• Extensive experience with agile development methodologies.
• At least one year of hands-on experience building, deploying, and maintaining production-level machine learning systems.
• Expertise in Python, including essential libraries such as NumPy, Pandas, Scikit-Learn, PyTorch, and TensorFlow.
• Strong communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.
• Proficiency in SQL and an intermediate understanding of DevOps processes and CI/CD pipelines.
• Fluency in English.

Why you'll love it here

We are proud to be recognized as a top place to work, and we are committed to supporting our employees both inside and outside of the office. This is a remote position with an annual salary range of $109,000.00 to $163,000.00. Our comprehensive benefits package includes:

• Dental and vision insurance.
• A 401k retirement plan.
• Life and disability insurance.
• Generous paid time off.