Senior Machine Learning Engineer, ML Efficiency

Responsibilities:

• Independently own high-value optimization initiatives across training, inference, or launch-readiness for important Ads ML workloads.
• Diagnose bottlenecks in real production systems using profiling, benchmarking, and observability.
• Build performance tooling, optimization playbooks, and efficiency primitives.

Qualifications:

• Deep ML systems experience close to real production models.
• Direct hands-on experience improving training or serving efficiency.
• Strong technical judgment across model-level, runtime-level, and infrastructure-level optimization.

Benefits:

• Comprehensive healthcare benefits and income replacement programs.
• 401k with employer match.
• Flexible vacation and paid parental leave.