Software Engineer, AI Specialist - Monetization (Technical Leadership)

What you'll do

• Architect and guide large-scale AI training, inference, and deployment systems and set cross-team technical standards.
• Lead multi-team AI roadmaps, resolve systemic engineering problems, and translate research advances into production systems.
• Promote AI-native engineering workflows, mentor engineers, and partner with legal, policy, and compliance teams on responsible AI.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 12+ years of software engineering experience focused on AI, machine learning systems, or applied deep learning in production.
• Experience architecting and delivering large-scale AI or machine learning systems, and leading multi-team technical initiatives end-to-end.
• Experience applying AI and automation tooling to improve engineering efficiency.

Nice to have

• Peer-reviewed AI or systems research contributions, or a track record of translating research advances into production AI systems.
• Experience with large-scale model training optimization, distributed training, inference efficiency, or privacy-preserving and safety-aware AI design.

Pay

$219,000/year to $301,000/year (base salary)

Tools

AI, machine learning, applied deep learning, foundation models, ranking, recommendation, distributed training frameworks, quantization

AI focus

Leads development and deployment of large-scale AI systems, including training and inference infrastructure, model evaluation, ranking and recommendation, research-to-production work, and AI-enabled engineering automation.