Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact.
What you’ll do:
The mission of PathAI’s machine learning group is to develop models that solve a wide range of scientific and clinical problems in pathology aimed at improving patient outcomes. To this end, the role of the ML Products team is to develop a suite of machine learning models aimed at automatically identifying a broad range of biomarkers and pathologies.
Your role will be to work closely with leadership from the machine learning, product, and clinical teams to understand PathAI’s algorithmic product goals and to translate them into models that generalize across a variety of settings. You will manage the ML Products team and it’s suite of models through the entire product lifecycle including development, launch, and maintenance. Your team will develop the infrastructure and technology necessary to accelerate our ability to deliver more models with increased accuracy in less time. You will provide technical mentorship and coaching to team members as they develop their skills working through ML and MLOps projects.
What you’ll need:
Bonus Skills:
Benefits:
For the right candidate, we'll offer a competitive salary plus equity. Your compensation is rounded out by a strong benefits package:
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising of diverse employees with a wide range of backgrounds and experiences, is pas