Senior Machine Learning Engineering Manager

Job summary

Responsibilities

You'll lead a senior-heavy group of 10–12 machine learning engineers, including Staff engineers, who team up dynamically to solve high-priority business problems while staying deep in content understanding (audio, video and text).

• Lead, coach and grow a group of 10+ senior and Staff machine learning engineers who team up dynamically around business problems while staying deep in their domain.
• Set technical and team strategy for multiple content understanding problems and turn it into clear, achievable plans.
• Own delivery of high-priority company initiatives, from shaping the problem through to measurable impact for listeners.
• Stay close to the technology as a player-coach. Lead technical strategy, reviewing designs, guiding modelling and retrieval choices, and contributing hands-on where it helps the…
• Define and champion a practical point of view on how ML engineers use AI tools in their day-to-day work, and help the team realise real productivity gains.

What they're looking for

• You have deep machine learning expertise and Staff-level technical judgement, and you're comfortable getting hands-on when it matters.
• You bring experience across NLP, audio / music content understanding and recommender systems.
• You have a track record of managing engineering teams while delivering complex, cross-functional initiatives.
• You enjoy coaching senior and Staff engineers, and you help experienced people grow their impact.
• You have a clear, informed point of view on using AI to improve how ML engineers work, and you can inspire a team to adopt it.