AI Engineer

Description

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

Benefits

•⁠ ⁠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. Apply today and join us in shaping the future of technology!

Full-time, part-time, or Internship

Fully remote or hybrid in Lausanne, Geneva or Paris

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