Senior Machine Learning Engineering Manager
| Company | Warner Music |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- You have a Bachelor’s degree in Computer Science, Mathematics, Physics, or other related field
- You have at least 10 years experience as a MLE with at least 3 years of management experience
- You have experience managing teams of 10-15 preferred
- Strong ML knowledge and great SWE skills
- You are highly technical and analytical with experience building systems (ML infrastructure, data pipelines, or services)
- Driven by solving business problems, understand how and when to use ML, and how to supplement ML with heuristics or rules to build systems that work
- Should know how to talk to non technical audiences about how ML based systems can solve business problems
Responsibilities
- Develop a strong understanding of the business problems we are trying to solve
- Together with Data Scientists, Data Engineers, Software Engineers and product leadership, identify and define the ML systems we want to build – and then design, implement, and launch those systems
- Train, evaluate, improve and launch music forecast models
- Ensure that we are able to run modeling experiments and launches with maximal efficiency, quality, reliability, and repeatability in a large-scale environment with > 2TB of incoming data per day and a total corpus in excess of 20PB
- Mentor more junior MLEs and Data Scientists
- Work closely with cross-functional partners to define opportunities, project objectives and deliverables
Preferred Qualifications
- You have experience managing teams of 10-15 preferred