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Amsterdam
20 Jul 2026
Staff Machine Learning Engineer, ML Efficiency logo

Staff Machine Learning Engineer, ML Efficiency

Reddit, Inc.

Amsterdam
20 Jul 2026
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Staff Machine Learning Engineer, ML Efficiency

Reddit seeks a Staff Machine Learning Engineer to join the ML Efficiency team, building infrastructure and tooling for efficient ML training and inference at scale. The role requires 5+ years of software engineering experience, strong Python skills, and expertise in distributed systems and ML infrastructure. Remote work is available from anywhere in the UK or Netherlands.

Core AIRemoteFull-timePrincipalPythonGo

Staff Machine Learning Engineer, ML Efficiency

Reddit seeks a Staff Machine Learning Engineer to join the ML Efficiency team, building infrastructure and tooling for efficient ML training and inference at scale. The role requires 5+ years of software engineering experience, strong Python skills, and expertise in distributed systems and ML infrastructure. Remote work is available from anywhere in the UK or Netherlands.

Apply
Core AIRemoteFull-timePrincipalPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Remote: work remotely from anywhere in the UK or the Netherlands

Experience Required

5 years

Employment Type

Full-time

Experience Level

Staff

Core Qualifications

Technical (Must-have)
PythonGoC++RustJavaMachine LearningDistributed SystemsPerformance EngineeringSystems OptimizationDebuggingProfiling

Preferred Qualifications

Technical (Nice-to-have)
Recommendation SystemsRankingGenerative AIFoundation ModelsPyTorch DistributedRayTensorFlowApache SparkGPU ArchitecturesCloud InfrastructureReal-time ML Inference

Key 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.
Staff Machine Learning EngineerML EfficiencyRedditRemoteNetherlandsUKPythonDistributed SystemsMachine Learning InfrastructurePerformance Engineering
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