Machine Learning Engineer - Subscriptions

Job summary

Responsibilities

We're looking for a Machine Learning Engineer to join our Radius squad. You'll take ownership of impactful ML initiatives, develop and improve production models, and contribute to the foundational ML capabilities that power personalization and optimization across Subscriptions.

• 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…
• 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

What they're looking for

• 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 explain the reasoning behind your technical choices

Tech stack

• Python
• Scala
• PyTorch
• GCP
• AWS