🛠 Tech Stack

💼 About This Role

You'll build and scale systems for training and deploying large language models for multimodal creative tasks. Your work will directly power new product capabilities in an AI-native video platform. This role offers an early-stage impact on foundational generative media problems.

🎯 What You'll Do

• Build pipelines for large-scale LLM training and fine-tuning
• Optimize training and inference performance
• Implement distributed systems for scalable experimentation
• Support deployment of LLM systems into production

📋 Requirements

• 2+ years of professional industry experience
• Strong experience with large-scale ML systems
• Proficiency in PyTorch, CUDA, Triton, and distributed training
• Experience optimizing LLM training or inference

✨ Nice to Have

• Strong systems intuition (memory, compute, throughput tradeoffs)
• Ability to bridge research and production
• Strong software engineering and debugging skills

🎁 Benefits & Perks

• 🏥 Comprehensive medical, dental, and vision plans
• 💰 401K with employer match
• 🚆 Commuter Benefits
• 🍽️ Catered lunch multiple days per week
• 🏖️ Generous PTO policy

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite / Final Round· 120 min