Machine Learning Engineer - Subscriptions

Market insights

Stack

Free. Sign in with email.

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

What You'll Do - Lead multi-week ML initiatives end to end, from translating business requirements into technical specifications to shipping models and measuring their impact on subscriber metrics - Own components of our ML systems, making independent technical trade-offs and keeping them observable, reliable, and well documented - Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalised and relevant ways - Prototype new approaches and productionise solutions at scale for our hundreds of millions of active users - Help drive optimisation, testing, and tooling to improve quality - Unblock and share context with your teammates to raise the whole squad's velocity - Use AI-assisted engineering to move faster and remove repetitive toil, while owning the quality of everything you ship - Partner closely with senior and staff ML engineers, and be part of an active group of machine learning practitioners in your mission and across Spotify Who You Are - You have experience building and shipping production ML systems - You have a strong background in machine learning, theory, and practice - You are comfortable explaining the intuition and assumptions behind ML concepts - You can own well-scoped ML projects end to end and make sound technical decisions independently - You communicate clearly with stakeholders and can ex

Full description, company and the link to apply — after you sign in. Sign in

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.