We are looking for a Senior Machine Learning (Audio / Computer Vision) Engineer to work on our mission to measure mental health. You will be responsible for developing bleeding-edge ML algorithms for measuring mental health. We are an experienced and innovative team who pays attention to details and wants to make our solutions as great for our users as they can be.
Earkick is building the first real-time mental health tracker. It allows users to understand, monitor and improve their mental health via biofeedback collection, multimodal sentiment analysis and environmental data. While the effectiveness of existing interventions for mental health issues rely on self-reports or random checks, Earkick provides users with ongoing insights about what works and what does not work for them. It also allows users to detect mental health issues before they manifest, to counter disorders efficiently, and to build up resilience over time.
Build the needed infrastructure to train and test ML and CV algorithms.
Create collections of training and test data.
Develop ML algorithms to solve concrete problems.
Proficient with Python
Experience with PyTorch, TensorFlow, pyAudioAnalysis, librosa, and OpenCV (or similar)
Experience with large scale machine learning projects
Some knowledge of emotion recognition and speech recognition
In-depth understanding of SOTA Machine Learning principles
Excellent communication and teamwork skills
Experience in defining and managing research projects with academia is a plus
Fluent in spoken and written English
Good communication skills to express ideas and opinions
High quality standards of coding
Open to testing new and crazy ideas
What we offer
A friendly, competent, fast-moving, and multi-national team
Flexible working hours
Job security: We are seeking only reliable long-term employees with permanent contracts.
No recruiter offers wanted!
Please send your application in English and make sure to include a link to your Github/Bitbucket account and/or app examples you are proud of.