Senior Machine Learning Engineer
Location: Remote
Compensation: To Be Discussed
Reviewed: Thu, Aug 27, 2026
This job expires in: 30 days
Job Summary
Seeking a full-time Senior Machine Learning Engineer to work remotely, who will own the full lifecycle of extraction models, partner with Clinical Data Managers, and build clinical NLP pipelines against messy real-world data.
Key responsibilities
- Own the full lifecycle of extraction models, including framing, data strategy, model training, evaluation, and deployment
- Define accuracy standards with stakeholders and build robust evaluation frameworks
- Collaborate with Clinical Data Managers on curation design and oversee the technical aspects of QA/QC processes
Required qualifications
- Healthcare or life sciences experience with real clinical data
- 6+ years in applied ML with a proven track record of deploying models in production
- Expertise in applied ML on text, including information extraction and evaluation practices
- Current experience with LLM-based approaches, including prompt development and evaluation
- Strong engineering skills in Python for production-level work
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