Senior ML Research Scientist

Summary

Join Rad AI, a leading healthcare AI company, as a Machine Learning Scientist specializing in NLP. You will develop cutting-edge speech and language models for radiologists, improving clinical outcomes. This role involves designing deep learning models, solving clinical challenges, collaborating with technical and clinical experts, and integrating cutting-edge research. You will also mentor team members and contribute to a dynamic ML team. Rad AI offers a competitive compensation package and a remote-first work environment.

Requirements

• Masters (PhD preferred) in Computer Science or related field, or equivalent experience
• At least 4 post-educational working years of experience
• Experience developing and testing NLP models (Summarization, Question Answering, ASR) in a commercial or academic setting
• Experience applying ML solutions to real-world problems
• Experience with deep learning frameworks (e.g. PyTorch), common NLP frameworks such as HuggingFace, and open source foundation models like Mistral, Llama and Whisper
• 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 recognition 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
• Mentorship and Collaboration Opportunities: Contribute to the growth of our dynamic Machine Learning Team through mentorship roles and collaborate with our esteemed in-house team of leading clinicians

Preferred Qualifications

• MD or PhD in biomedical or related field, or equivalent experience
• Experience working at an early stage startup
• Have successfully published in NLP
• Experience in healthcare industry or clinical environments
• Experience working with AWS, GCP or similar
• Experience working in a HIPAA compliant environment
• Experience applying machine learning to health data

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
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend