Algorithm Integration Engineer

Algorithm Integration Engineer

Empatica is a full-stack digital healthcare company and a pioneer in digital biomarker development and continuous patient monitoring driven by AI. Our platform consists of medical-grade smartwatches, software, physiological and behavioral digital biomarkers. Together they enable the continuous remote monitoring of human health across a range of conditions, through clinical-quality digital measurements.

Your ultimate call is to improve lives around the world, as part of a cross-functional teams who share knowledge and are eager to keep learning and pushing to create top-notch products that have a meaningful impact.

If you are looking to join a fast-paced growth environment and do meaningful work that can make a true impact in the world, then keep reading.

We are looking for an Algorithm Integration Engineer to help transform cutting-edge biomedical research and data science into reliable, production-ready solutions. In this role, you'll be the bridge between research and product, ensuring that innovative algorithms, at the core of our digital biomarkers and powered by Digital Signal Processing (DSP) and AI/ML, run efficiently on our platforms and deliver real-world impact in health tech.

You'll collaborate with data scientists and product teams to take experimental digital biomarkers from prototype to clinical-grade deployment. Your work will enable the detection, monitoring, and prediction of health outcomes using data from sensors, wearables, and other digital endpoints.

If you're passionate about turning data science into meaningful digital biomarkers and digital health measures, and you thrive at the intersection of engineering, AI, and biomedical innovation, this role is for you.

Responsibilities

• Integrate algorithms developed in R&D into our DSP library (C/embedded) or into cloud-based workflows (Python)
• Assess the technical feasibility of new algorithms in terms of computational resources, memory usage, and compatibility with the DSP architecture and provide inputs for algorithm components optimization.
• Collaborate with the Data Science team to ensure behavior, performance, parameters and edge cases are aligned between R&D code and production code.
• Coordinate with Firmware, Mobile, and Cloud teams to ensure correct definition of inputs/outputs and biomarker formats.
• Support the QA team in defining testing protocols, debugging, and troubleshooting issues.
• Create and maintain technical documentation for releases and compliance (in collaboration with the Regulatory team).
• Actively contribute to release planning and cross-team communication of changes.