Machine Learning Engineer

Dova Health Intelligence is a leading software company specializing in the application of artificial intelligence technologies to the detection, diagnosis and treatment of disease throughout the gastrointestinal (GI) tract. Dova’s leadership team and clinical advisory board members have applied clinical knowledge and research from the world’s leading institutions to the development of highly effective software tools that are now used in drug development, academic research and clinical practice. Gastrointestinal illness is responsible for over 43 million new emergency and primary care visits each year in the United States, with colorectal cancer being the the second most common cause of cancer death globally and the global burden of Inflammatory Bowel Disease (IBD) increasing by over 50% in the last 30 years. Your work at Dova will contribute to the improvement of the lives of millions of people that experience these diseases. About the JobDova is seeking a Machine Learning Engineer to play a pivotal role in developing our medical AI data platform. You will significantly influence how we:Develop and deploy machine learning modelsTune performance of our modelsProvision infrastructure for processing video dataProcess medical video dataYour contributions will help redefine how gastrointestinal (GI) practitioners and researchers detect, diagnose, and monitor diseases and therapies. You will collaborate closely with a multidisciplinary team of engineers, data scientists, and medical professionals, working at the forefront of computer vision algorithms and deep learning models to analyze medical imaging data. This role encompasses not just algorithm development but also verification, validation, regulatory compliance, and active support for our company’s strategic initiatives.Minimum Qualifications:Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field.3+ years of experience developing and deploying machine learning/computer vision modelsExtensive experience with vision transformers and deep learning - including knowledge of the current state-of-the-artProficiency in Python and experience with data processing frameworks (e.g., Spark, PySpark).Expertise with common data and machine learning libraries such as NumPy, Pandas, and PyTorch.Familiarity with containerization (Docker) and orchestration technologies (Kubernetes)Excellent problem-solving skills and the ability to thrive in a fast-paced startup environmentStrong communication skills to effectively convey complex technical concepts to non-technical stakeholdersWhy Join Us?At Dova, you’ll have the opportunity to impact the future of medical AI. If you’re passionate about leveraging data to improve healthcare outcomes and enjoy working in an innovative environment, we’d love to hear from you!