Lead Applied Ml Engineer (+ Equity) At Clinical Ai Startup, Córdoba Capital

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About The Role
We're seeking an Applied ML Lead to spearhead the development of models that enhance our clinical products.
Your primary focus will be on advancing speech-to-text capabilities for medical consultations in Brazilian Portuguese and Latin American Spanish, leveraging our unique data advantage.
This role extends beyond ASR to include LLM fine-tuning and clinical classifiers, offering a dynamic and impactful opportunity.
What You'll Be Doing
Manage the speech-to-text stack from data curation to deployment, including training pipelines and fine-tuning.
Develop a data flywheel to transform scribe-generated transcripts into a valuable training asset.
Establish and maintain training infrastructure, including GPU orchestration and experiment tracking.
Create evaluation frameworks that accurately reflect clinical performance.
Collaborate with the AI team on LLM orchestration and classifier work for clinical tasks.
Work with product and medical teams to align clinical and model requirements.
What We're Looking For
Proven experience in training and operationalizing ML models from research to production.
Strong understanding of modern ML infrastructure, including PyTorch and distributed training.
Experience with ASR, speech models, or audio ML is highly desirable.
Ability to build data pipelines, evaluation harnesses, and inference services.
Independent problem-solving skills and pragmatic engineering decision-making.
Curiosity about healthcare/clinical ML, though prior experience is not required.
Compensation & Benefits
Competitive salary and meaningful equity.
Remote work flexibility, with a preference for candidates based in the Americas.
Offices available in São Paulo and Medellín.
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