Senior ML Research Scientist

Summary

Join Rad AI, a leading healthcare AI company, and become a Research Scientist on our Machine Learning team. You will develop advanced speech processing pipelines and quality assurance systems for medical dictation workflows, research offline speech processing capabilities, and tackle complex challenges unique to healthcare and radiology. This high-impact role involves close collaboration with vendors and cutting-edge research in speech and audio ML. You will translate research into production and work on projects such as converting dictated speech into structured data and building voice interfaces. Your work will directly influence clinical workflows and improve physician efficiency at scale. Rad AI offers a variety of benefits for US-based full-time roles.

Requirements

• MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience
• 2+ years of post-degree experience building models in ML Speech technologies such as Automated Speech Recognition/Speech-to-Text (ASR/STT), or Text-to-Speech (TTS)
• Strong experience working with transformer-based speech models such as Whisper
• Proficiency with Python and deep learning frameworks like PyTorch
• Familiarity with open-source libraries such as ESPnet, HuggingFace Transformers, torchaudio , or Kaldi
• Experience deploying speech or audio models in production settings
• Experience working with and curating large audio datasets

Responsibilities

• Develop advanced speech processing pipelines and quality assurance systems for medical dictation workflows
• Research offline speech processing capabilities and edge computing solutions for clinical environments
• Tackle complex challenges unique to healthcare and radiology, such as converting dictated speech into structured data, enabling real-time clinical decision support, or building voice interfaces
• Work closely with vendor relationships to enhance integration and performance metrics
• Drive Applied Research: Stay current with cutting-edge research in speech and audio ML, design experiments, and prototype ideas that can be translated into production

Preferred Qualifications

• PhD, or research background in speech ML , signal processing, or voice-based interfaces
• Experience working in healthcare, regulated environments , or HIPAA-compliant systems
• Publications in top-tier ML or speech-specific conferences (e.g., INTERSPEECH, ICASSP, NeurIPS)
• Experience working in early-stage startups or fast-paced R&D teams
• Familiarity with cloud platforms (AWS, GCP) and modern ML ops toolchains

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