Staff Machine Learning Engineer, ML Efficiency
EUR 70K-96K (estimate) Senior-level Full Time
Tasks
- Build benchmarking frameworks and performance dashboards for training and serving
- Design and build ML training and inference efficiency systems
- Develop ML tooling for debugging profiling optimization monitoring
- Drive technical strategy for ML platform scalability reliability and cost efficiency
- Improve GPU and resource utilization through scheduling resource management caching and workload optimization
- Lead cross functional initiatives to improve ML engineer productivity
- Optimize distributed training infrastructure data pipelines and model serving architectures
- Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements
Perks/Benefits
- Employer sponsored medical plan
- Family planning support
- Flexible vacation
- Gender-affirming care
- Income replacement programs
- Mental health & coaching benefits
- Paid parental leave
- Paid volunteer time off
- Private pension employer matching
- Remote work
- Workplace professional development caregiving support
Skills/Tech-stack
Benchmarking | C++ | Caching | Cloud Infrastructure Cost Optimization | Cloud infrastructure | Cloud infrastructure cost | Cost Optimization | Data Pipelines | Debugging | Distributed Systems | GPU Performance | GPU performance analysis | Go | Infrastructure cost optimization | Java | Machine Learning | Machine Learning Infrastructure | Model Serving | Performance Analysis | Performance Engineering | Profiling | PyTorch distributed | Python | Ray | Resource Management | Rust | Scheduling | Spark | Systems Optimization | TensorFlow | Training systems | Workload optimization
Education
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