Assorthealth

Research Engineer

San Francisco, Remote. Posted a month ago

The role

You will build healthcare AI models and model pipelines that power voice agents and a patient platform. You will lead research and engineering efforts to improve conversational capabilities and design experiments to test model behavior.

What you will do

  • Lead research and engineering efforts to improve core conversational capabilities in production
  • Investigate research questions in speech and audio
  • Design experiments to test hypotheses about model behavior and capabilities
  • Build and iterate on end-to-end models and pipelines
  • Identify opportunities for model-task optimization
  • Partner with platform and product engineers to integrate new models into production systems
  • Break down ambiguous research ideas into clear, iterative milestones and roadmaps
  • Train, fine-tune, validate, and further develop models
  • Design evaluation protocols and benchmarks
  • Analyze datasets, model outputs, and failure cases

Required qualifications

  • 5+ years of experience with a minimum of 3+ in AI/ML engineering or research
  • Prior experience post-training and deploying LLMs in production environments
  • Fluency in Python and modern ML tooling (training, evaluation, inference, data pipelines)
  • Track record of taking research ideas from prototype to reliable, measurable production impact
  • Strong experimental judgment

Nice to have

  • Prior experience utilizing and improving speech-to-text (STT), text-to-speech (TTS) models, and/or duplex models

Benefits

  • Competitive Compensation including salary and employee stock options
  • Annual budget for professional development and training opportunities
  • Office Setup Stipend
  • Medical, dental, and vision insurance
  • Flexible PTO
  • Lunch, dinner, and snack breaks
  • Monthly fitness membership reimbursement
  • Commuter Benefits
  • 401(k)

About the company

Assort Health is building an AI agent to create one continuous conversation for every patient. The company has raised $222 million and has been named to the Forbes Cloud 100.