Sr. Machine Learning Engineer at Strive Health

At Strive Health, we are on a mission to transform the kidney care landscape. By leveraging predictive data and a high-touch care team, we support patients throughout their entire journey, from chronic kidney disease to end-stage care. Our work directly reduces emergency dialysis events and improves overall patient outcomes. We are proud to be recognized as a top place to work, and we are looking for passionate individuals to join us in setting a new standard for healthcare.

What is this role?

We are looking for a Senior Machine Learning Engineer to join our team on a full-time, remote basis. This is a senior-level position where you will play a pivotal role in shaping our machine learning strategy. You will be responsible for designing and maintaining scalable MLOps solutions that allow us to deliver high-quality clinical insights at scale.

What will you do?

• Design and deploy robust MLOps tooling that covers the entire data science lifecycle, including model training, monitoring, deployment, and inference.
• Oversee the transition of new AI and machine learning models into production environments using modern, cutting-edge technologies.
• Mentor members of our technology team to help them grow their expertise in machine learning practices and specialized tooling.

What makes you a great fit?

To be successful in this role, you should have a strong background in both engineering and data science. We value candidates who possess the following qualifications:

• At least 5 years of experience in an applied machine learning or data science role within the healthcare or technology sectors.
• Extensive experience with agile methodologies such as Scrum or Kanban.
• At least 1 year of hands-on experience building, deploying, and maintaining production-level machine learning systems, ideally using AWS services.
• Expertise in Python, including libraries like NumPy and Pandas, as well as strong proficiency in SQL.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Intermediate knowledge of DevOps processes and CI/CD pipelines specifically for machine learning systems.

What's in it for you?

We offer an annual salary range of $109,000 to $163,000. In addition to competitive pay, we provide a comprehensive benefits package designed to support your wellbeing and professional growth:

• Remote work flexibility.
• Dental and vision insurance.
• 401k retirement plan.
• Life and disability insurance.
• Paid time off.
• Dedicated professional development opportunities.