Virtuosis.ai

Machine Learning Engineer

Description

We measure so many aspects of our physical health, but what about mental health? Joining Virtuosis AI, a young EPFL startup awarded "Microsoft Startup of the Year 2023", you will make contributions that have an impact in the real world. Our team has built an AI capable of analysing emotions and well-being and we are now taking it to the next level: mental health screening. During the internship, you will create collections of training and test data, benchmark ML architectures, develop algorithms, and build the needed infrastructure to train and test 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 (or similar)
•⁠ ⁠Experience with machine-learning projects
•⁠ ⁠Some knowledge of emotion recognition
•⁠ ⁠Understanding of SOTA Machine Learning principles
•⁠ ⁠Experience with health-related data is a plus
•⁠ ⁠Good team player

Benefits

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

Instead of a motivation letter, applicants can send a bullet point proposal of their methodology for how they would tackle this challenge. 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

Full Remote or Hybrid, Lausanne or Geneva

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