As a critical member of our interdisciplinary group, you will collaborate closely with AI scientists, engineers, and drug discovery experts to help develop AI models to accelerate the identification and development of novel therapeutics. This role offers a unique opportunity to leverage cutting-edge AI techniques to address pressing challenges in healthcare and contribute to improving human health globally.
Job listings
As an AI Scientist, you will be a crucial member of our core AI team, comprising highly creative and talented peers who are all experts in developing state of the art AI models. You will initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development. You will also have the chance to work closely with interdisciplinary experts with world-class biology, drug discovery, and clinical expertise.
At Freenome, they are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of AI, including ML fundamentals and extensive experience with deep learning methods. They will be responsible for the development of algorithms for early, blood-based detection tests for cancer.
Help define and drive Rad AI's next generation of applied research in NLP and clinical AI. Collaborate closely with clinicians, engineers, and product leaders to translate foundational research into production-scale systems that improve outcomes for doctors and patients alike.
Lead research on large language models for next-generation conversational avatars, defining how avatars can think, adapt, and communicate naturally. Drive research initiatives, design fine-tuning techniques, and prototype models. Collaborate with teams to move research into impactful production systems and mentor other researchers.
Looking for an AI Researcher to join the core AI team and push the boundaries of large language modeling in conversational AI. Thriving in fast-moving startup environments, enjoying experimenting with new ideas, and loving seeing work come to life in production will make you feel right at home.