Machine Learning Engineer (Clinical NLP)

Location: Remote; U.S. applicants only

Salary: $150,000–$200,000 per year, plus equity

Company

hirify.global is a patient-powered real-world data platform that transforms longitudinal health records into datasets for biopharma research, evidence generation, regulatory submissions, and market access.

What you will do

• Own the full lifecycle of clinical text extraction models, from problem framing and annotation strategy through deployment, monitoring, and retraining.
• Build clinical NLP pipelines for entity extraction, classification, sequence labelling, and other structured feature extraction tasks.
• Define accuracy standards with clinical and customer-facing stakeholders and build evaluation harnesses, annotation workflows, sampling processes, and error analysis.
• Develop and evaluate LLM-based approaches using prompts, structured output, retrieval, observability, and cost and latency tracking.
• Partner with Clinical Data Managers on curation and QA/QC, and collaborate with backend engineers to productionize ML systems.
• Own technical direction as the first ML hire and help shape the roadmap and future ML team.

Requirements

• Healthcare or life sciences experience with real clinical data is required, including clinical notes, EHR data, claims, registries, or similar sources.
• 6+ years of applied ML experience, including personally taking production models from problem statement through deployment and ongoing maintenance.
• Strong applied ML experience with text, including information extraction, NER, classification, sequence labelling, weak supervision, annotation guidelines, and inter-annotator agreement.
• Practical experience with LLM approaches, including prompt development, structured output, retrieval, fine-tuning, evaluation, and observability.
• Strong Python engineering skills and experience building production systems beyond notebooks.
• Ability to work independently and collaborate clearly with clinical, data, backend, and customer-facing stakeholders.

Nice to have

• Fluency with SNOMED CT, ICD-10, LOINC, RxNorm, CPT, and FHIR.
• Experience with HIPAA, SOC 2, de-identification, IRB, or regulatory-grade data work.
• Experience with early-stage or first-ML-hire roles, human-in-the-loop annotation and QC, OCR, or document understanding.
• Experience mentoring or leading ML engineers, or interest in developing in that direction.

Culture & Benefits

• Ground-floor ownership of a commercially important ML capability with influence over architecture, roadmap, and future hiring.
• Small Platform Engineering function with broad scope and direct ownership.
• Medical, dental, and vision coverage.
• 401(k), flexible time off, wellness stipend, and up to 12 weeks of parental leave.
• Equity in hirify.global.