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Staff Machine Learning Engineer, Ads ML Efficiency

Reddit· Ads Product & Engineering
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Hybrid (Remote (US/Canada))$230k - $322kFull-timePosted 2w ago

About the role

Remote-friendly role focused on building the infrastructure, tooling, and optimization systems to enable ML engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale within Reddit’s ML ecosystem.

Responsibilities

  • 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 workload optimization.
  • Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.
  • Build benchmarking frameworks and performance dashboards for training and serving systems.
  • Optimize distributed training infrastructure, data pipelines, and model serving architectures.
  • Lead cross-functional initiatives that improve the productivity of Reddit ML engineers.
  • Drive technical strategy for ML platform scalability, reliability, and cost efficiency.

Qualifications

  • 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.
  • Deep understanding of performance engineering and systems optimization.
  • Strong debugging and profiling skills.

Skills

Required:PythonSystems programmingDistributed systemsMachine learning infrastructurePerformance engineeringDebugging and profiling
Nice to have:Large-scale ML domainsDistributed training frameworks

Benefits

  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Group Personal Pension Scheme with Employer match
  • Private Medical and Dental Scheme
  • Income Replacement Programs
  • Bike to Work scheme
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
Last updated Oct 7, 2026. Interested? Apply on the company site.
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