Staff Machine Learning Engineer

📋 Description

• ML Platform: Design and operate AppFolio's ML infrastructure on AWS — ECS, SageMaker, GPU fleets
• Drive AI Cost Discipline: Optimize cost across all AI applications — provider routing, caching
• Multi-Provider Reliability: Maintain reliable, multi-provider LLM access across Google, OpenAI, and
• Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language
• Productionize Research: Partner with Voice & Agents and Research ML engineers to harden their
• AI Safety & Guardrails: Operate AppFolio's AI safety and authorization layer — guardrails on

🎯 Requirements

• 7+ years of experience developing and scaling web-based applications, preferably in a SaaS
• Systems thinker: You think in terms of platforms and long-term leverage, not just features.
• Production builder: You've built and scaled ML infrastructure in production with meaningful
• Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear
• Owner-operator: You take ownership with a founder/owner-operator mindset, act with urgency, and
• Pace: You have a strong desire to move fast and deliver impact, while maintaining sound engineering

🎁 Benefits

• $200K – $275K base pay
• Offers Bonus
• Offers Equity