Qualifications
The ideal candidate will possess a strong background in machine learning, data analysis, and software engineering. A PhD or Master’s degree in Computer Science, Data Science, or a related field is preferred. You should have experience with:Developing and deploying machine learning models in productionProficient programming skills in Python, R, or similar languagesStrong understanding of statistical methods and data mining techniquesFamiliarity with cloud platforms (AWS, GCP, or Azure)Excellent problem-solving abilities and a collaborative mindset
About the job
Lila Sciences is seeking a Principal Machine Learning Engineer based in San Francisco, CA. This position centers on designing and building advanced machine learning algorithms to support scientific progress in healthcare and agriculture.
Role overview
The Principal Machine Learning Engineer will develop and implement new algorithms that strengthen Lila Sciences’ product capabilities and support data-driven decisions. The work will directly affect both internal business outcomes and broader scientific initiatives.
Collaboration and impact
This role involves close collaboration with engineers and data scientists on projects that address a range of technical and scientific challenges. The solutions created will have a direct influence on the future of healthcare and agriculture by applying advanced analytics and machine learning techniques.
About Lila Sciences
Lila Sciences is a pioneering company at the intersection of technology and biology, dedicated to revolutionizing the way we understand and utilize biological data. Our innovative solutions combine machine learning and deep scientific expertise to empower researchers and organizations in healthcare and agriculture. By joining our team, you will be part of a mission-driven company that is shaping the future of science and technology.