Senior ML Engineer - Bedside Cardiac Signal AI

Acorai; Portugal; Híbrido; EUR 70 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work in Portugal

Competitive salary

Resumo da oferta

Acorai is hiring a Senior Machine Learning Engineer to join the ML team in a role hybrid across Sweden and Portugal. You will build models from multimodal sensor data to estimate intracardiac pressures, and shepherd them through regulatory and deployment challenges.

The job focuses on time-series ML, physiological signals, and building robust, calibratable models with end-to-end ownership and collaboration with clinical and regulatory teams.

Qualificações

• 5+ years shipping ML systems with time-series or sensor data.
• Experience with physiological or sensor signals.
• Strong Python and PyTorch, reproducible ML practices.

Responsabilidades

• Build and refine models from multimodal sensor data to estimate cardiac pressures.
• Own end-to-end pipeline: preprocessing, features, training, calibration.
• Design experiments with learning curves, ablations, and subgroup analyses.
• Assess model performance across demographics, noise, drift.
• Document model and dataset for FDA submissions.
• Deploy locked, versioned models under embedded hardware constraints.
• Collaborate with clinical/regulatory teams on data needs.

Conhecimentos

Time-series ML

Python

PyTorch

Experimentation

Uncertainty quantification

Data modeling

Ferramentas

PyTorch

Descrição da oferta de emprego

Acorai is hiring a Senior Machine Learning Engineer to join the ML team in a role hybrid across Sweden and Portugal. You will build models from multimodal sensor data to estimate intracardiac pressures, and shepherd them through regulatory and deployment challenges.

The job focuses on time-series ML, physiological signals, and building robust, calibratable models with end-to-end ownership and collaboration with clinical and regulatory teams.