🛠 Tech Stack

💼 About This Role

You'll architect scalable ML systems for deploying large video models in production. You will own the technical vision for our video intelligence platform, bridging AI research and engineering. This role offers the chance to shape how millions interact with video content globally.

🎯 What You'll Do

• Design scalable ML systems infrastructure for large video models
• Define technical strategy for model development and monitoring
• Lead architectural decisions on model selection and optimization
• Collaborate with research to translate AI into production systems
• Champion MLOps best practices including model versioning and A/B testing

📋 Requirements

• 10+ years in software architecture or systems design
• 5+ years focused on ML/AI systems architecture
• Expertise in scalable ML systems and distributed systems
• Experience with AWS/GCP/Azure and Kubernetes
• Proficiency in PyTorch or TensorFlow and MLOps tools

✨ Nice to Have

• MS or PhD in ML/AI
• Experience with video processing pipelines and codec standards
• Knowledge of model optimization techniques like quantization and pruning

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Onsite Interviews· 4 hours

🚩 Heads Up

• Experience level (lead) requires 10+ years but title also says Senior Staff, which may be overleveled