Staff Machine Learning Engineer, Ads ML Efficiency

About this role

📋 Description Design and build systems that improve the efficiency of ML training and inference workloads. Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance. Improve GPU and general resource utilization through scheduling, resource management, caching, and Partner with ML researchers and product teams to identify bottlenecks and drive performance Build benchmarking frameworks and performance dashboards for training and serving systems.

Optimize distributed training infrastructure, data pipelines, and model serving architectures. 🎯 Requirements BS, MS, or PhD in Computer Science or a related field. 5+ years of software engineering experience. Strong proficiency in Python Profiency in at least one systems language (Go, C++, Rust, or Java) preferred Experience building distributed systems at scale. Experience with machine learning infrastructure, training systems, or model serving platforms.

🎁 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