An AI startup is seeking an experienced Machine Learning (ML) Engineer to help advance our mission of revolutionizing healthcare. With an initial focus on breast cancer screening, we will build mammography-based machine learning (ML) solutions that accurately predict the risk of cancer, personalize the plan of care, cultivate trust, and save lives. We want to expand our team with someone who shares our appreciation for the rapidly evolving power of big data and machine learning, and who enjoys bringing to production state-of-the-art algorithms to solve novel real-world healthcare problems. The ML engineer will be responsible for the prototyping and deployment of state-of-the-art ML solutions as well as the improvement of Company’s ML development pipeline. He or she will also assist in the collection, cleaning, and organization of large databases from heterogeneous data. The ML engineer will work closely with research partners, data partners, data engineers, ML engineers, and software engineers with the goal of developing commercial-grade ML solutions. The ideal candidate will have a strong experience in the development, optimization, and production of machine learning models in medical imaging. He or she will have a strong understanding of ML best development practices, and a prior experience of data engineering work for ML-based products. The ideal candidate is a team player, highly motivated self-starter, detailed-oriented with demonstrated ownership, accountability, and commitment to high quality deliverables. The location of the position is flexible within the United States, with the ability to work remotely from home.