Machine Learning Engineer - Optical Blood Pressure Estimation

About Hilo by Aktiia

High blood pressure is the world’s most common disease, causing 18M deaths each year. At Hilo by Aktiia, our vision is a world where no lives are lost or damaged from the effects of high blood pressure. Our mission is to make this a reality by developing tech to help people control their blood pressure.

We are a venture-backed scale-up company, having raised over $96M from investors in Europe and the United States. Our technology - rooted in 18 years of research at the Swiss Center for Electronics and Microtechnology (CSEM) - is the world’s only medically accurate, continuous blood pressure monitor that is cuffless in daily life in the consumer space. Validated through extensive clinical trials and CE Marked as a Class IIa medical device, our solution is now available in 12 countries. We are a hybrid/remote-first company, with Headquarters in Neuchâtel, Switzerland, united by our passion for impact and innovation.

Role Overview

We're currently looking for a Machine Learning Engineer - Optical Blood Pressure Estimation to join our team.

Core Responsibilities

• Optical Signal Modelling & ML Development: Design, develop, and refine machine-learning models that estimate blood pressure from optical data (PPG/rPPG, RGB video) captured via smartphone cameras
• Signal Processing & Feature Extraction: Work hands-on with camera-derived biomedical signals, applying optical and physiological signal-processing methods to build robust input pipelines
• Model Improvement & Iterative Experimentation: Analyze model behaviour, run systematic experiments, and drive continuous iteration to enhance accuracy, robustness, and generalization across diverse conditions
• Production Readiness & Deployment Support: Prepare ML models for deployment on mobile devices and cloud systems, collaborating with engineering to ensure smooth integration and medical-grade reliability
• End-to-End Ownership of the Modelling Pipeline: Take full responsibility for the ML workflow—from data preparation to modelling, validation, documentation, refinement, and performance tracking
• Cross-Functional Collaboration: Work closely with colleagues in AI/Data Science, engineering, physiology, and software to ensure solutions are technically sound and aligned with product needs
• Leading Role in Optical BP Estimation: Advance a novel ML technology application: shape, optimize, and mature an emerging ML capability central to the Hilo Lens product line

Requirements

Background & Experience

• Academic Background: Computer Science, Machine Learning, Mathematics, Electrical Engineering, Biomedical Engineering, or a related technical field
• Professional Expertise: Minimum 2+ years of applied industry experience in machine learning or deep learning, ideally in MedTech or regulated domains. You have hands-on experience developing, fine-tuning, iterating, and validating neural network models on real-world datasets, including conducting systematic experiments and driving performance improvements through continuous evaluation
• Technical Experience: You have strong programming skills in Python and hands-on experience with modern ML frameworks. You are skilled in building, validating, and deploying machine-learning models and bring a solid foundation in statistical learning and time-series modelling, including CNNs and RNNs. In addition, you bring applied signal-processing experience, particularly with PPG, ECG, or motion-supported signals.
• Industry Fit: Ideally, you bring experience from start-ups or innovation-driven environments with broad, end-to-end ownership, and exposure to regulated or technically demanding industries, computer vision, or sensor technology
• Language Skills: English at highly proficient level is a must. French, German or Italian are advantageous.
• Personality: A creative, proactive problem-solver, you enjoy turning complex challenges into real, working solutions. You love getting hands-on, building, testing, and iterating end-to-end — and you naturally take ownership of your work. You stay organized, move things forward independently, and collaborate openly with the people around you.

We’re looking for a hands-on builder who has developed, iterated, and optimized machine-learning models for real-world signals — someone who thrives where algorithms meet real users and who’s excited to drive camera-based blood-pressure estimation in digital health.

What Makes You A Great Fit

At Hilo by Aktiia, our values guide everything we do:

Move the Needle

• You focus on what truly drives impact for our customers and company.
• You use data and clarity to guide your decisions and prioritize what matters most.
• You push boundaries with bold, thoughtful innovation and hold yourself accountable for results.

Move Fast, Learn, Refine

• You work with urgency and purpose, balancing speed with high quality.
• You treat mistakes as learning opportunities, experiment thoughtfully, and iterate quickly.
• You take ownership, act hands-on, and always look for smarter, faster ways to get things done - including leveraging AI and new tools.

Team First

• You put the team above individual interests, building trust through openness and respect.
• You encourage healthy debate, challenge directly while caring personally, and stand behind team decisions.
• You act as an owner, stepping in when needed and doing what’s necessary for the team’s success.

Benefits

Why Join Us?

• Hilo by Aktiia is becoming one of the most important med-tech companies, and you can be part of this exciting story.
• Work on a mission that matters: transforming cardiovascular health at global scale.
• Be part of a high-impact, fast-growing, and venture-backed scale-up company.
• Collaborate with a diverse, passionate, and talented team.
• Competitive compensation and equity program, and other benefits (depending on location).

Ready to Move the Needle?

If you are passionate about making a meaningful impact in people's lives and excel in an environment where individuals take ownership and are committed to delivering results, we are happy to receive your application.