Machine Learning Platform Engineer

📋 Description

• Build scalable ML systems and low-latency services.
• Real-time inference at scale for millisecond decisions.
• End-to-End MLOps: training, deployment, monitoring.
• Create centralized Feature Stores for model training.
• Enable self-service ML/DS teams for faster deployment.
• Integrate ML models into DFS platform with low latency.

🎯 Requirements

• 3+ years in Platform Engineering building scalable ML platforms.
• 1+ years owning ML systems in production, on-call included.
• Real-time data experience with Kafka/Flink or Pub/Sub.
• MLOps with SageMaker/VertexAI; Redis/Elasticsearch.
• Python expert; Go; C++ or Rust a plus for inference.
• Docker & Kubernetes for containerized infra.

🎁 Benefits

• Medical, dental, and vision plans subsidized.
• 401(k) plan with company match.
• Annual bonus eligible.
• Flexible PTO for balance.
• 16 weeks paid parental leave.
• Company equipment provided (Windows/Mac).