Machine Learning Engineer, HealthLeap

• 3-5+ years ML engineering experience in a high-growth environment
• Strong production ML skills - you've deployed models, not just trained them
• Deep experience with tabular data, feature engineering, classical ML
• Understand model explainability - clinicians ask "why did this patient score high?"
• Genuinely excited about healthcare and patient impact
• Comfortable with unpredictability - priorities shift, you adapt

Desirable

• Build the models that tell clinicians which patients need attention
• HealthLeap's ML models run every morning at Cedars-Sinai, Penn Medicine, and Houston Methodist - surfacing the patients who would otherwise slip through the cracks
• You'll improve these models, build feedback loops that actually learn, and expand to new conditions that affect millions of patients
• Improve our malnutrition model - better feedback loops, fewer false positives
• Build features from structured EHR data - labs, vitals, patient history
• Expand to new conditions - CHF, pressure injury, COPD, and beyond
• Own the full lifecycle: train → deploy → monitor → retrain
• Work with backend to receive data from pipelines and make it useful for ML
• Talk to clinicians and customers to understand what models should actually do

• Intro call - Get to know each other
• Technical - 1-2 interviews on ML system design + past work deep dive
• Onsite - Coding, case study, team meet
• Decision - Same week as onsite