Senior Machine Learning Engineer

Job Summary

To support the development of next-generation machine learning tools, the remote Senior Machine Learning Systems Engineer will design and build large-scale offline ML experimentation platforms, develop production-grade training orchestration frameworks, and create infrastructure for experiment tracking and reproducibility.

Key responsibilities

• Design and build large-scale offline ML experimentation platforms for reproducible research and model development
• Develop production-grade training orchestration frameworks that support distributed training and automated retraining
• Build infrastructure for experiment tracking, metadata management, and model registries to enhance operational efficiency

Required qualifications

• 5+ years in infrastructure/platform engineering or large-scale distributed systems
• 2+ years of hands-on experience with production ML infrastructure and developer SDKs
• Experience with distributed data processing systems such as Spark, Flink, or Ray
• Familiarity with orchestration technologies like Kubeflow, Argo, or Airflow
• Experience building offline ML experimentation platforms or training orchestration frameworks