Machine Learning Systems Engineer

Substack

full-time

Posted on: 9/5/2025

Origin: • 🇺🇸 United States • California

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💰 $200,000 - $250,000 per year

Mid-LevelSenior

AirflowAWSCloudDistributed SystemsDockerJavaScriptKubernetesPythonPyTorchRayTensorflowTypeScript

About the role

Design and build scalable ML infrastructure including model serving systems, feature stores, and training pipelines
Develop and maintain robust data pipelines for ML workflows, from data ingestion to model deployment
Implement MLOps best practices including CI/CD for ML models, monitoring, and automated retraining pipelines
Build and optimize model serving infrastructure to support real-time and batch inference at scale
Collaborate with ML engineers and data scientists to understand infrastructure requirements and translate them into reliable systems
Monitor and optimize ML system performance, reliability, and cost efficiency
Establish infrastructure standards and tooling to accelerate ML development workflows
Own the deployment and operational aspects of ML models in production

5+ years of relevant experience building and maintaining data/ML infrastructure systems
Strong programming skills in Python or TypeScript and experience with infrastructure-as-code tools
Experience with ML infrastructure components such as feature stores, model registries, and serving systems
Solid understanding of distributed systems, containerization (Docker/Kubernetes), and cloud platforms
Experience with data pipeline orchestration tools (e.g., Airflow, Prefect, or similar)
Independent and autonomous. We're too small to micromanage, and expect that every person at the company owns their work and can be a leader
Hold yourself and others to a high standard when working on production systems
Enjoy collaboration with a diverse group of stakeholders while bringing your own unique experience and background to the team