Strive Health is dedicated to transforming kidney care through early identification, engagement, and coordinated care. Our mission is to improve the lives of those with kidney disease by leveraging comparative and predictive data analytics to identify at-risk patients and provide high-touch care throughout their journey. Strive Health has received numerous accolades, including recognition as one of Forbes America's Best Startup Employers and various "Best Places to Work" awards. Our culture prioritizes diversity, tenacity, and a supportive environment, making this the ideal place for top talent in the healthcare community.
Strive Health is searching for candidates who have: - Over 5 years of experience in the healthcare or technology sector. - Proven expertise in applied machine learning or data science roles. - Solid experience deploying and maintaining production-level machine learning systems. - Proficiency in Python, SQL, and machine learning frameworks like PyTorch/TensorFlow. - Strong communication skills to articulate technical concepts to non-technical stakeholders. - Intermediate knowledge of DevOps processes and CI/CD pipelines for ML systems.
We are committed to ensuring a supportive recruitment process. If you require any accommodations, please reach out to talentacquisition@strivehealth.com. Join us and be a part of revolutionizing kidney care!
Typically, interviews at Strive Health vary by role and team, but commonly Machine Learning Engineer interviews follow a fairly standardized process across these question topics.
We've gathered this data from parsing thousands of interview experiences sourced from members.
Practice for the Strive Health Machine Learning Engineer interview with these recently asked interview questions.