🛠 Tech Stack

💼 About This Role

You'll architect and lead development of our training platform, supporting top-tier research engineers and model developers. You'll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack. This role offers the chance to work on cutting-edge ML infrastructure for leading AI companies.

🎯 What You'll Do

• Design and architect scalable infrastructure systems for ML training platform
• Partner with developers to translate training requirements into technical solutions
• Design and architect a global training scheduler
• Design and architect reinforcement learning and continuous learning pipelines
• Drive long-term improvements to system reliability and development velocity

📋 Requirements

• Bachelor's degree in Computer Science or related field
• Proficiency in Go
• Deep expertise with Kubernetes in production environments
• Advanced understanding of distributed systems concepts and performance tuning

✨ Nice to Have

• Experience with distributed storage systems
• Experience with workload orchestration platforms like Temporal or Airflow
• Familiarity with open source training stack and frameworks (NCCL, PyTorch, Megatron, etc.)

🎁 Benefits & Perks

• 💰 Competitive compensation including meaningful equity
• 🏥 100% coverage of medical, dental, vision for employee and dependents
• 🏖️ Flexible PTO including company-wide Winter Break
• 👶 Paid parental leave
• 🌱 Fertility and family-building stipend through Carrot