Machine Learning Engineer

On behalf of our client Hilo by Aktiia, and as part of an exclusive mandate, we are seeking a versatile and motivated individual to join their pioneering team as a

MACHINE LEARNING ENGINEER 100%

Company Overview

Hilo by Aktiia believes that the key to improving cardiovascular health is to provide patients and physicians with a deeper understanding of blood pressure patterns. Before Hilo, it was not possible to monitor cardiovascular health at scale.

They are an early-stage, venture-backed start-up that has raised over $96M from top-tier investors in Europe and the United States. They have developed and brought to market the world's first continuous blood pressure monitor. Their technology is based on 18 years of research by their founders at the prestigious Swiss Center for Electronics and Microtechnology (CSEM). Hilo by Aktiia's solution has been validated through extensive clinical trials and received a CE Mark as a Class IIa medical device under MDR, enabling commercial access to approximately 43 countries worldwide.

Responsibilities

• Design, develop, optimize, and document innovative AI models for blood pressure estimation from optical signals.
• Analyze model limitations and devise strategies to enhance performance, addressing key challenges.
• Collaborate and communicate effectively with cross-functional teams to solve complex technical problems.

Your profile

• M.Sc. or Ph.D. in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a relevant field.
• 2+ years of industry experience applying Deep Learning techniques, ideally in a highly regulated field (medtech, banking, etc.).
• Experience in developing, fine-tuning, and evaluating neural network architectures on large-scale datasets.
• Experience in performing verification and validation (V&V) activities of developed models.
• Experience in deploying machine learning models in a production environment.
• Deep understanding of statistical learning, CNNs, and RNNs.
• Proficiency in Python and machine learning frameworks (e.g., PyTorch, Scikit-learn, TensorFlow, etc.) plus AWS.
• Experience in medical signal processing or time series analysis is a plus.
• Strong communication skills in English (both written and spoken).
• Creative and hands-on approach to problem-solving.
• Comfortable working in a multidisciplinary, multicultural, and diversity-oriented team.
• Highly organized and meticulous in code development and documentation, ensuring thorough traceability and clarity in compliance with medical device industry standards.
• Based in Switzerland, with a valid Swiss work permit.

Benefits

• Pension.
• Competitive compensation package based on experience.
• Flexible work location (hybrid work schedule).

Are you passionate about solving problems with visionaries and innovative approaches?

Then Flurin Schwager looks forward to receiving your application documents or your call.