Lead ML/AI Platform Engineer

What you'll do:

• Own the ML/AI platform: Lead architecture and operation of training infrastructure, model serving, and inference pipelines.
• Set technical direction: Define ML/AI architecture, engineering standards, and tooling strategies.
• Build production ML systems: Oversee feature engineering, model training, tuning, and deployment.

What you bring:

• Senior engineering experience: 8+ years in software or ML engineering with 5+ years delivering production ML systems.
• AWS ML expertise: Hands-on with SageMaker, Bedrock, and AgentCore.
• GenAI/LLM expertise: Production experience with RAG, prompt engineering, and evaluation.

Why join:

• Equity compensation and flexible time off.
• Medical, dental, and vision coverage with 100% of employee premiums covered.
• Fully remote work with a globally distributed team and half-day Fridays.