Description

As a Principal Machine Learning Engineer on the Reliability team, you will define the technical strategy for using ML to improve platform reliability, reduce incident detection and resolution times, and ship production-grade solutions.

Requirements

• 8+ years designing large-scale ML systems in production
• Proven track record of setting long-term technical direction for an ML domain
• Deep expertise in Computer Vision and/or Vision-Language Models
• Experience architecting scalable real-time ML inference and data pipelines
• Strong product sense and strategic planning ability

Responsibilities

• Define and own multi-year technical vision for ML in reliability
• Collaborate with executive stakeholders to prioritize ML roadmap
• Lead adoption of innovative ML techniques (transfer-learning, self-supervised learning, etc.)
• Build end-to-end ML products from data pipelines to deployed solutions
• Spend 30-40% of time on backend and integration work