Principal Software Engineer, ML & Media Infra

What you'll do

• Set the technical vision and roadmap for model training and serving infrastructure.
• Lead architectures for distributed training, fine-tuning, distillation, and high-scale CPU/GPU inference.
• Design architectures for content acquisition, media ingestion, and signal processing.
• Optimize efficiency across data loading, GPU kernels, memory, compilation, and quantization.
• Build reliable, observable platforms with strong quality guarantees and training/serving consistency.
• Productionize features and models safely at scale in partnership with Ads and Core AI/ML teams.
• Drive cross-organizational architecture decisions, migrations, and operational standards while mentoring senior engineers.
• Use AI-assisted development to accelerate prototyping, performance diagnosis, and validation.

What we're looking for

• Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience.
• Track record of setting technical strategy and delivering company-wide infrastructure initiatives in ambiguous environments.
• Deep expertise in distributed ML systems with production experience in large-scale training and online inference.
• Strong GPU performance knowledge including profiling, distributed execution, kernel/memory optimization, compilation, or quantization.
• Experience with AI/ML modeling, recommender systems, Ads ranking, retrieval, or feature platforms.
• Experience with content acquisition such as crawlers, content understanding, and near real-time data processing.
• Strong systems programming and design skills in C++, Java, or Python.
• Demonstrated ability to use AI to improve speed while maintaining accountability for correctness and data safeguards.