🛠 Tech Stack

💼 About This Role

You'll lead novel research on test-time compute scaling and build massive-scale synthetic data generation pipelines. You'll optimize AI inference workloads using the latest compute and memory optimization techniques.

🎯 What You'll Do

• Lead research on synthetic data generation pipelines
• Optimize performance of large-scale AI inference workloads
• Contribute to open-source synthetic data and RL frameworks
• Publish research at top-tier AI conferences

📋 Requirements

• AI/ML engineering experience with end-to-end pipelines for large-scale models
• Deep expertise in distributed inference frameworks like vLLM, sglang
• Solid understanding of MLOps best practices including CI/CD
• Passion for advancing reasoning and democratizing AI

✨ Nice to Have

• Experience with reinforcement learning post-training
• Published research at NeurIPS, ICML, or similar

🎁 Benefits & Perks

• 💰 Cash compensation $150k-$300k + equity
• 🏖️ Flexible work with remote option
• 🌍 Visa sponsorship and relocation assistance
• 🎉 Quarterly team off-sites and hackathons
• 🚀 Mission-driven team with top investors

📨 Hiring Process

Apply through the company website; includes a technical assessment and interviews.