Software Engineer, Machine Learning

Highlights

• Own architecture for critical ML systems serving billions of users globally.
• Solve the hardest ML systems challenges across multiple product areas.
• Lead multi-year ML strategy aligning research, infrastructure and product.

What they offer

• bonus
• equity
• benefits

Ideal candidate

Distinguished ML systems leader who blends research insight with production pragmatism, aligns cross-functional teams around bold roadmaps, and mentors others to ship responsible AI at global scale.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 12+ years of experience designing, building, and deploying large-scale machine learning systems in production
• Experience architecting end-to-end ML platforms spanning data pipelines, distributed training, evaluation, and low-latency inference
• Experience resolving complex, cross-system ML failures including model quality, training stability, and serving correctness
• Experience defining technical strategy and gaining alignment across multiple engineering teams
• Experience communicating complex ML designs and trade-offs to technical and non-technical audiences including executives