Machine Learning Engineer

Job Title: Machine Learning Engineer Company: Kuddo Health Location: New York, NY; San Francisco, CA Workplace Type: Hybrid Employment Type: Contract Salary: $80,000–$160,000/year About Kuddo Health Kuddo Health is an AI-powered patient data analytics company for psychologists and psychiatrists. We are building the quality measurement layer for behavioral healthcare: AI that surfaces whether clinicians are delivering evidence-based protocols with fidelity and closes the gap with targeted feedback. We believe AI should make experts better, not replace them. Our mission is to give everyone the toolkit for a life well-lived, starting with empowering those on the frontline who share that mission to do their best work. Role Overview We are hiring an ML Engineer to lead the modeling work with Kuddo and Stanford Medicine researchers. This is a contract-first role with full-time conversion after our seed close this summer. Key Responsibilities • Own the ML end-to-end process. • Turn clinical fidelity rubrics into a well-posed extraction and scoring problem. • Curate ground-truth data with clinical reviewers. • Build evaluation against expert raters. • Fine-tune open-weight models as the dataset grows. Requirements • Real ML/DL chops: training and fine-tuning, data labeling and quality control. • Ability to translate a clinical question into a computational problem. • Focus on what you have shipped and how you reason, rather than years of experience. Required Skills • Machine Learning • Deep Learning • Data Labeling • Quality Control • Problem Solving Preferred Certifications • Certified Machine Learning Specialist • Deep Learning Professional Certification • AI Ethics Certification Additional Details • Work Language: English • Company Size: 1–10 employees • Industry: Mental Health Care If you would like to join us, please see the full JD and application in the comments.