Remote Position

Senior Machine Learning Engineer, Platform

🌍 Remote · United States 💼 Full-time

Job Description:

Serve as the first ML hire on Platform Engineering and report to the Head of Platform Engineering
Own the full lifecycle of extraction models: framing, data and annotation strategy, model selection, training/fine-tuning, evaluation, deployment, monitoring, and retraining
Define “accurate enough” with clinical and customer-facing stakeholders
Build the evaluation harness as an initial deliverable
Partner with Clinical Data Managers on curation design
Own the technical half of QA/QC, including extractability decisions, model specifications, tooling, sampling, and error analysis for human-in-the-loop review
Build clinical NLP pipelines against messy real-world data
Work with backend engineers to productionize ML systems
Develop and rigorously evaluate LLM solutions using versioned prompts, cost and latency tracking, and failure-mode analysis
Make extraction quality understandable to non-ML colleagues
Handle de-identification, PHI, audit trails, and access controls as part of the modeling problem
Help shape the roadmap and potentially lead the future team

Requirements:

Healthcare or life sciences experience with real clinical data — clinical notes, EHR data, claims, registries, or similar; this is non-negotiable
6+ years in applied ML
Personally taken models from problem statement to production and maintained them
Depth in applied ML on text, including information extraction, NER, classification, sequence labelling, weak supervision, annotation guidelines, and inter-annotator agreement
Practical experience with LLM-based approaches, including prompt development, structured output, retrieval, fine-tuning where warranted, evals, and observability
Strong engineering fundamentals in Python
Production engineering experience beyond notebooks
Ability to define problems with stakeholders, write clearly, and collaborate across the ML boundary
Self-directed problem-solving and comfort working without a playbook
Nice to have: SNOMED CT, ICD-10, LOINC, RxNorm, CPT, FHIR
Nice to have: HIPAA, SOC 2, de-identification methodology, IRB, or regulatory-grade data experience
Nice to have: early or first ML hire experience
Nice to have: human-in-the-loop annotation and QC operations at scale
Nice to have: OCR and document-understanding experience
Nice to have: mentoring or leading ML engineers
Applicants must be located in the United States
Novellia is not able to sponsor visas at this time

Benefits:

More Open Positions