Senior Machine Learning Engineer, Ads ML Efficiency

📋 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