Beatdapp delivers a real-time royalty tracking platform that authenticates, verifies, and validates music streams for labels and artists, dramatically reducing discrepancies between digital service providers and rights holders. Leveraging Ethereum and Proof-of-Authority blockchain technology, the system provides immutable metadata ownership and a transparent audit trail that cuts legal exposure and audit costs for DSPs. Beatdapp's SaaS solution functions as a PWC-style audit for play counts, boosting royalty revenue for rights holders while simplifying compliance for industry partners. Recognized as a top seed-stage company in Canada and a finalist in multiple blockchain innovation competitions, Beatdapp is positioned at the intersection of music, technology, and data integrity.
Open Positions
Data Scientist / Machine Learning Engineer (Recommendation Systems)
3+ years of experience in Data Science or Machine Learning Engineering, strong engineering chops, deep learning expertise, and architectural experience
Data Platform Engineer
3+ years of experience in Backend, DevOps, and/or Data Engineering, Kubernetes experience, proficiency in Python, and CI/CD expertise