Machine Learning Engineer

Hilo by Aktiia; Lausanne; Vor Ort; CHF 90’000 - 130’000; Vollzeit

Zusammenfassung

An innovative start-up is seeking a talented ML Engineer passionate about advancing cardiovascular health through cutting-edge technology. This role involves designing and developing AI models for blood pressure estimation, collaborating with cross-functional teams, and optimizing model performance. Join a dynamic and diverse team dedicated to making a meaningful impact in healthcare. If you thrive in a fast-paced environment and are eager to tackle complex challenges, this opportunity is perfect for you. Bring your expertise in deep learning and machine learning frameworks to help revolutionize patient care.

Leistungen

Pension

Competitive compensation package

Flexible work location

Occasional international travel

Qualifikationen

• 5+ years of industry experience applying deep learning techniques.
• Experience in developing and deploying machine learning models.

Aufgaben

• Design and optimize AI models for blood pressure estimation.
• Collaborate with teams to solve complex technical problems.

Kenntnisse

Deep Learning

Python

Machine Learning Frameworks

Statistical Learning

Communication Skills

Ausbildung

M.Sc in Computer Science

Ph.D. in Machine Learning

Tools

PyTorch

Scikit-learn

TensorFlow

Jobbeschreibung

Company Overview

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

We are an early-stage, venture-backed start-up that has raised over $96M from top-tier investors in Europe and the United States. We have developed and brought to market the world's first continuous blood pressure monitor. Our technology is based on 18 years of research by our 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 leading to commercial access of approximately 43 countries worldwide.

To strengthen our team, we are looking for a:

ML ENGINEER

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
• 5+ years of industry experience applying Deep Learning techniques
• 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.)
• 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
  
  

Are you passionate in solving problems with visionaries and innovative approaches? In this case you are ready to rock with the Hilo team. We look forward to receiving your application by email ([e-mail]).

Only fully documented applications (CV, diplomas) will be considered for the recruitment process. If you should not hear back from us within two weeks, your application has unfortunately not been successful for this role.

Benefits

• Pension
• Competitive compensation package based on experience
• Flexible work location (hybrid work schedule) and occasional international travel as required (10% of time)