AI Engineer

Virtuosis; Lausanne; Vor Ort; CHF 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

Unrestricted work-from-home days

Minimal meeting culture

Learning opportunities (conferences,课程

Zusammenfassung

Virtuosis AI, an EPFL spin-off, is seeking an AI engineer to create training and test datasets, benchmark architectures, and develop algorithms. You will build the infrastructure needed to train and evaluate them in a real-world context.

Remote or hybrid work options exist, with locations in Lausanne and surrounding regions. Experience with Python, PyTorch, and health-related data is valued, along with a proactive approach and interest in advancing voice biomarker AI for meetings.

Qualifikationen

• Python proficiency.
• Experience with PyTorch and pyAudioAnalysis, OpenSMILE or similar.
• Understanding of SOTA Machine Learning principles.
• Experience with health-related data is a plus.

Aufgaben

• Create collections of training and test data.
• Benchmark ML architectures.
• Develop algorithms.
• Build the infrastructure to train and test these algorithms.

Kenntnisse

Python proficiency

PyTorch

OpenSMILE/pyAudioAnalysis

Understanding of ML principles

Health data experience

Tools

OpenSMILE

pyAudioAnalysis

Jobbeschreibung

Join Virtuosis AI, an EPFL spin-off recognized as Microsoft Startup of the Year 2023, and make a real-world impact. Our team is advancing voice biomarker AI technology and integrating it into meetings. As an AI engineer, you will create training and test datasets, benchmark machine-learning architectures, develop algorithms, and build the infrastructure needed to train and evaluate them.

Responsibilities

• Create collections of training and test data
• Benchmark ML architectures
• Develop algorithms
• Build the infrastructure to train and test these algorithms

Preferred Qualifications

• Python proficiency
• Experience with PyTorch and pyAudioAnalysis, OpenSMILE or similar
• Understanding of SOTA Machine Learning principles
• Experience with health-related data is a plus

• Unrestricted work-from-home days
• Minimal meeting culture
• Additional learning opportunities included if desired (conferences, courses)

Applicants are encouraged to submit examples of past projects and outline their approach to building an ML model for predicting stress levels, including their methodology and key considerations. If you're a proactive individual excited about AI's future, we'd love to hear from you.

Full-time, part-time, or Internship

Fully remote or hybrid in Lausanne, Geneva or Paris