Staff ML Platform Engineer

Job Summary

To support a growing ML infrastructure, the full-time Staff ML Platform Engineer (MLOps) will build and manage the platform for ML and LLM-powered products, ensuring efficient deployment, monitoring, and optimization in a remote work environment.

Key Responsibilities

• Assess current ML workflows and produce a prioritized plan for enhancements
• Own compute provisioning and environment management, ensuring reproducibility and optimization
• Establish observability and traceability standards for production ML models, enabling quick diagnosis and resolution of issues

Required Qualifications

• Hands-on experience in MLOps, ML platform, or ML infrastructure
• Proven ability to implement end-to-end MLOps practices including CI/CD for models and monitoring
• Production experience with LLM-based systems and managing cost and latency trade-offs
• Experience in running controlled model experiments in production
• Strong systems design ability with a track record of improving complex ML systems