Senior Machine Learning Engineer, Ads ML Efficiency

About this role

📋 Description Own end-to-end performance optimization initiatives for high-impact production ML workloads, from Profile and diagnose ML performance bottlenecks across model execution, frameworks, runtimes Design and implement performance improvements involving inference execution, runtime behavior Improve ML training and serving efficiency and scalability, optimizing latency, throughput Support faster and safer model launches through performance benchmarking, load testing, regression Partner with model engineers and platform teams to identify high-leverage opportunities, integrate 🎯 Requirements Hands-on ML performance engineering experience: Demonstrated ability to diagnose and implement Deep expertise in at least one ML performance area, such as inference execution, ML runtimes Strong profiling and benchmarking skills: Ability to identify bottlenecks systematically, establish Strong software engineering fundamentals: Experience implementing, debugging, testing, and ML systems understanding: Familiarity with production ML frameworks and the performance trade-offs Production engineering judgment: Ability to balance performance improvements with numerical 🎁 Benefits Global Benefit programs that fit your lifestyle, from workspace to professional development to Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme

Source listing: empllo_remote