Staff Machine Learning Scientist, Rad AI

• Preferred PhD or Masters in CS or related field, or equivalent experience
• At least 4 post educational working years of experience
• Experience developing and testing NLP models in a commercial or academic setting
• Experience applying both supervised and unsupervised methods to real world datasets
• Experience with LLM in production systems
• Solid fundamentals in algorithms, math, and probability theory
• Experience with deep learning frameworks (e.g. PyTorch) and common NLP frameworks such as HuggingFace
• Extensive programming skills, with a focus on Python

Desirable

• We’re seeking to add a world-class experienced Staff Machine Learning Scientist and hands on subject matter expert to join our amazing Model team
• This person will play a critical role in helping mentor our growing ML Engineering team and will be instrumental in building out our ML infrastructure, scaling up our models, and cross collaborating with the Software and DevOps Engineers on the needs of our research platform
• Develop SOTA sequence-to-sequence and classification models for reasoning over clinical text
• Read papers and devise experiments with the intent of incorporating new research into our platform
• Work as peers with our product team by integrating new research into applied projects
• Determine scope of the problem, the best place to apply machine learning, set up labeling tasks if necessary, and evaluate different approaches
• Mentor and collaborate with members of our growing ML Team, and advise the Software and DevOps Engineers on the needs of the research