Staff ML Engineer, Revenue Personalization (Remote)

Aimlroles; San Francisco (CA); À distance; USD 272 000 - 340 000; Plein temps

Résumé du poste

Discord is hiring a Staff Machine Learning Engineer for the Consumer Revenue ML team. You will help apply ML across Shop, Nitro, Server Subscriptions, and Gifting, building ranking and recommendation systems that connect users to products and content.

The role requires strong ML background, experience with RecSys architectures, and the ability to lead cross-functional projects in a fast-paced environment. Remote-friendly with US-based base salary.

Qualifications

• 8+ years of experience in applied Machine Learning, incl. Ph.D. or Master’s in CS/ML.
• Strong expertise in applied deep learning and mainstream RecSys model architecture (two-tower, transformer-based, multi-task).
• Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
• Experience building ML systems from 0→1 and taking them to production at scale.
• Strong product and business intuition to translate experiments into roadmap decisions.
• Excellent communication and collaboration to lead cross-functional initiatives.
• Ability to thrive in ambiguous, open-ended problems.

Responsabilités

• Lead org-wide ML initiatives across Discord's revenue surfaces.
• Design and implement ranking, targeting, and recommendation systems.
• Collaborate with cross-functional teams to align stakeholders.
• Translate experiment results into actionable roadmaps.
• Ensure production-ready ML systems at scale.

Connaissances

Applied ML

RecSys models

Python

PyTorch

JAX

TensorFlow

Production scale

Cross-functional

Ambiguity

Formation

PhD or MS in CS/ML

Outils

PyTorch

JAX

Spark

Flink

Description du poste

Discord is hiring a Staff Machine Learning Engineer for the Consumer Revenue ML team. You will help apply ML across Shop, Nitro, Server Subscriptions, and Gifting, building ranking and recommendation systems that connect users to products and content.

The role requires strong ML background, experience with RecSys architectures, and the ability to lead cross-functional projects in a fast-paced environment. Remote-friendly with US-based base salary.