Senior ML Ops Engineer

📋 Description

• Own and extend the ML platform end to end, including training orchestration, experiment tracking
• Build and operate data pipelines supporting model training and online inference.
• Design processes for backfills, replays, and recovery when upstream data feeds fail.
• Ensure training data accurately reflects what was known at the point in time it represents.
• Build and manage reliable processes for moving trained models into production.
• Ensure model training runs and results are reproducible.

🎯 Requirements

• 4+ years of professional software engineering or data engineering experience.
• 2+ years building and operating machine learning systems in production.
• Hands on experience building an ML platform from the ground up or significantly scaling an existing
• Experience continuing to own and operate ML infrastructure as it matured.
• Experience supporting multiple production models with complex training workloads.
• Experience building and maintaining production data pipelines at scale, including managing their

🎁 Benefits

• Hybrid work model, onsite in King of Prussia 3 days per week
• Equity in a fast-scaling SaaS company
• Fully paid medical, dental, and vision options
• Life and AD&D insurance
• PTO