Applied AI Research Scientist

WhatJobs; Luzern; Vor Ort; CHF 100’000 - 140’000; Vollzeit

Zusammenfassung

A pioneering start-up in Switzerland is seeking an Applied AI Research Scientist to develop AI models for blood pressure estimation. The role requires a Ph.D. and expertise in machine learning, with additional benefits including a competitive salary and a pension plan. Join a diverse, innovative team committed to improving cardiovascular health through advanced technology.

Leistungen

Pension

Competitive compensation package

Qualifikationen

• Ph.D. in a relevant field required.
• Experience with large-scale datasets and neural networks essential.
• Strong publication record in AI/Machine Learning.

Aufgaben

• Design and document innovative AI models for blood pressure estimation.
• Analyze model limitations and develop enhancement strategies.

Kenntnisse

Machine Learning

Python

Deep Learning

Statistical Learning

Time Series Analysis

Neural Network Architectures

Ausbildung

Ph.D. in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or relevant field

Tools

PyTorch

Scikit-learn

TensorFlow

Jobbeschreibung

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 an

APPLIED AI RESEARCH SCIENTIST 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 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 in 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.

Your profile

• Ph.D. in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a relevant field.
• Experience in developing, fine-tuning, and evaluating neural network architectures on large-scale datasets.
• Strong publication record in Machine Learning or AI.
• Deep understanding of statistical learning, CNNs, and RNNs.
• Proficiency in Python and machine learning frameworks (e.g., PyTorch, Scikit-learn, TensorFlow, etc.).
• Experience in time series analysis is a MUST.
• Experience in medical signal processing or time series analysis is a plus.
• Strong communication skills in English (both written and spoken).
• Motivated, proactive, and curious, with a structured, solution-oriented mindset; a team player eager to learn.
• Comfortable working in a multidisciplinary, multicultural, and diversity-oriented team.
• Based in Switzerland, with a valid Swiss work permit.
• Additional benefits include pension and a competitive compensation package based on experience.

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

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