🛠 Tech Stack

💼 About This Role

You'll lead AI engineering to build the engine powering Highlight's shared intelligence layer. You'll own architecture, quality, and roadmap for context ingestion, modeling, and retrieval. This hands-on role offers the chance to research and deploy state-of-the-art ML models while building a world-class team.

🎯 What You'll Do

• Architect and build memory systems for context graph
• Research and deploy ML models (LLMs, OCR, etc.)
• Lead full ML lifecycle from data pipelines to monitoring
• Own output quality across chat, actions, and workflows

📋 Requirements

• 7+ years in ML/AI engineering
• 3+ years leading teams or major technical initiatives
• Master’s or PhD in CS, ML, Statistics, or Applied Math
• Published research in knowledge graphs, memory systems, or retrieval

✨ Nice to Have

• Experience at top AI labs (e.g., DeepMind, OpenAI)
• Strong architectural chops designing ML infrastructure from scratch
• Hands-on proficiency with PyTorch, TensorFlow, RAG, vector DBs

🎁 Benefits & Perks

• 💰 Competitive salary and generous equity package
• 🏥 Health, dental, and vision insurance
• 🏖️ Flexible PTO and parental leave
• 🍽️ Paid team lunches and dinners
• 📦 Relocation package

🚩 Heads Up

• Requires 5 days/week in-office attendance
• Mentions 'Type-A tendencies' as a requirement, which is vague and potentially exclusionary