Senior Machine Learning Engineer, Platform

What you'll do

• Lead the full lifecycle of extraction models, from problem framing and annotation strategy through deployment, monitoring, and retraining.
• Define extraction quality with stakeholders and build evaluation, QA/QC, and human-review processes.
• Build clinical NLP pipelines, partner with backend engineers to productionize them, and ensure quality and safeguards are clear to colleagues.

What they ask for

• Healthcare or life sciences experience using real clinical data.
• 6+ years in applied ML, including personally taking models from problem statement to production and maintaining them.
• Depth in applied ML on text, including information extraction, NER, classification, sequence labelling, and evaluation practices.
• Practical experience with LLM approaches and strong Python engineering fundamentals for production systems.

Nice to have

• Fluency with clinical terminologies or standards such as SNOMED CT, ICD-10, LOINC, RxNorm, CPT, or FHIR.
• Experience with HIPAA, SOC 2, de-identification, IRB or regulatory-grade data, OCR, annotation operations, or ML leadership.

Pay

USD 150K – 200K base salary

Tools

Python, SNOMED CT, ICD-10, LOINC, RxNorm, CPT, FHIR

AI focus

Applied ML and LLM-based extraction of structured features from unstructured clinical text, including model training, evaluation, deployment, monitoring, and retraining.