Beatdapp is a venture-backed startup delivering the most advanced music tracking and fraud detection technology in the world. Ranked #2 startup in Canada and Top 20 Music Companies globally, our industry-leading software helps artists and labels track and audit their media streams for royalty payments. Our fraud detection tools help streaming services identify and fight bots and bad actors!

Plus, who doesn't love working with the world's best music labels and artists all day!

Data Engineer

As a Data Engineer, you'll work closely with our leadership team, data scientists, and product team to facilitate the development of supervised and unsupervised models that help identify and fight fraud across music streaming services. You will directly influence our product decisions and help to fight a multi-billion dollar problem plaguing the music industry.

Major responsibilities

• Build data pipelines to feed machine learning models for large-scale use cases
• Work closely with Data scientists to scale model training and explore new data sources and model features
• Build integrations with 3rd party vendors and platforms
• Identify opportunities to streamline, automate tasks, and build reusable components across multiple use cases
• Create dashboards that help our stakeholders understand the performance of the experiments and help them make decisions

Successful Candidates will have

Preferred Qualifications

Perks