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Senior Machine Learning Engineer, Platform
📋 Description
- Own the full lifecycle of extraction models - framing, data/annotation strategy, model selection
- Define what "accurate enough" means with stakeholders and build the evaluation harness.
- Partner with Clinical Data Managers on curation design and QA/QC tooling.
- Build clinical NLP pipelines and productionize them with backend engineers.
- Use LLMs with versioned prompts, evals, and cost/latency awareness.
- Shape the roadmap with a mission-driven partner, not a backlog.
🎯 Requirements
- Healthcare or life sciences experience with real clinical data.
- 6+ years in applied ML with production-grade models.
- Deep experience in information extraction, NER, classification, sequence labelling.
- Practical experience with LLM-based approaches and prompts.
- Strong engineering fundamentals in Python; production mindset.
- Collaborative, self-directed, problem-solving mindset.
🎁 Benefits
- Equity in Novellia
- Medical, dental, and vision coverage
- 401(k)
- Flexible time off
- Wellness stipend
- Up to 12 weeks of parental leave
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