Machine Learning Research Scientist

Summary

Join Rad AI, a leading healthcare AI company, in transforming healthcare with AI! We're seeking a world-class Machine Learning Scientist to build state-of-the-art models and improve clinical outcomes.

Requirements

• Masters (PhD preferred) in CS or related field, or equivalent experience
• At least 2 post-educational working years of experience
• Experience developing and testing NLP models in a commercial or academic setting
• Experience applying ML solutions to real world problems
• Experience with deep learning frameworks (e.g. PyTorch) and common NLP frameworks such as HuggingFace
• Experience with LLMs in production systems
• Extensive programming experience, with a focus on Python

Responsibilities

• Develop Advanced Deep Learning Models: Harness the power of deep learning to create sophisticated models capable of performing a range of reasoning and generative tasks, specifically tailored to the nuances of clinical data
• Innovate in Clinical Problem-Solving: Apply your expertise to solve intricate clinical challenges, contributing directly to real-world healthcare advancements
• Collaborative Solution Development : Engage actively with both technical peers and clinical experts to innovate and refine solutions that have a tangible impact in the field of healthcare
• Architect Interdisciplinary Solutions: Play a pivotal role in designing solutions that bridge multiple disciplines. Determine the optimal integration points for machine learning in these solutions and conduct objective evaluations of competing methodologies
• Research Integration and Experimentation: Stay at the forefront of machine learning advancements by reviewing academic papers, designing experiments, and integrating cutting-edge research into our platform

Benefits

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 paid company holidays
• Location-flexibility (remote-first company!)
• Flexible PTO policy