Machine Learning Engineer II

To advance medicine and improve patient care, the full-time Machine Learning Engineer II will design, develop, and deploy machine learning models while collaborating with cross-functional teams in a remote or onsite environment. Key responsibilities Design, develop, and deploy machine learning models for research and product development projects Collaborate with scientists, engineers, and product teams to translate biological and clinical requirements into scalable ML solutions Contribute to experimental design and analysis, including ideation, documentation, and reporting Required qualifications Master's degree in Machine Learning, Computer Science, Data Science, Statistics, Applied Mathematics, or a closely related discipline with 2-4 years of experience, or a PhD with 0-2 years of experience Proven track record of developing and deploying machine learning models into production or research applications Highly proficient in Python, ML frameworks, and data pipeline development Demonstrated ability to contribute to experimental design and improve ML workflows Experience collaborating across scientific and engineering teams