• Create collections of training and test data
• Benchmark ML architectures
• Develop algorithms
• Build the infrastructure to train and test these algorithms
• 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. Apply today and join us in shaping the future of technology!
