Senior Machine Learning Engineer, Ads ML Efficiency

What you’d do

Own end-to-end performance optimization for high-impact production ML workloads, from finding bottlenecks through validation and rollout. Profile and diagnose ML performance issues across model execution, frameworks, runtimes, memory, CPU/GPU use, and infrastructure using benchmarking. Found on the employer's careers page on Oct 20, 2026. Apply through the link.

You’ll need

• End-to-end ML performance optimization
• Profiling ML bottlenecks
• CPU/GPU utilization and memory tuning
• Benchmarking and measurement
• Remote within US or Canada