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WMG

Senior AI Engineer, Sureel AI

Toronto, Ontario · Vancouver

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hirly's read of this role

Seniority
Senior
Stated salary
C$110,000 – C$145,000 per year
Country
CA
Work mode
Remote-friendly
First seen by hirly
9 Nov 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

A little bit about our team

Sureel AI is building the standards and infrastructure for AI rights, licensing, attribution, protection, and intelligence, starting in music and expanding across media.

We are building the infrastructure that enables creators and rightsholders to control how their work is used by AI, protect their rights, understand its use and value, and participate in new AI licensing models. We also provide AI companies and digital platforms with the systems they need to access rights, permissions, attribution, guardrails, reporting, and licensing infrastructure programmatically.

Acquired by Warner Music Group, Sureel operates as an independent, federated company, combining startup speed with the reach of a global music company.

Our work involves technical problems that often have no established solutions. We study how data influences generative models, trace influence through training and inference, and develop attribution and protection systems that turn advanced AI research into reliable enterprise products.

Your role

We are looking for a Senior AI Research Engineer who combines deep scientific understanding with strong engineering skills.

You will tackle problems where existing methods may not be enough. You'll develop hypotheses from first principles, explore new approaches, adapt existing research, design rigorous experiments, and turn successful ideas into production systems.

You'll need to stay current with AI research, recognize when established methods are useful, and know when to challenge or extend them. Some problems will call for applying state-of-the-art techniques. Others will require substantial changes or entirely new approaches.

You'll work across the full research and engineering cycle, from formulating a problem and testing an idea to deploying it, learning from real-world results, and improving the underlying science.

We benchmark our work against leading academic institutions and industrial AI labs. We want to develop original methods that stand up to that level of scrutiny and can also become useful products.

Original posting on WMG's site ↗

Listed on hirly, a job board. hirly is not the employer: WMG is hiring for this role.

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