Director of Engineering (Economy ML)

TL;DR

Director of Engineering (Economy ML): Leading and scaling the Economy ML organization to build AI systems for personalization, search, pricing, and virtual item intelligence with an accent on recommendation systems and GenAI. Focus on driving the long-term strategy for ML infrastructure, foundation models, and semantic retrieval at massive scale.

Location: Hybrid (Onsite Tue, Wed, Thu) in San Mateo, CA

Company

hirify.global is a global platform empowering a community of developers to create immersive 3D experiences.

What you will do

• Define and lead long-term strategy for Economy ML across recommendations, search, pricing, and content intelligence.
• Build and scale a high-performing ML engineering organization including managers and senior ICs.
• Lead investments in next-generation ML systems, including foundation models and Generative AI workflows.
• Establish scalable ML development practices for experimentation, feature engineering, and model serving.
• Partner with senior leadership to align technical investments with business strategy and company priorities.
• Mentor engineering leaders and cultivate a strong technical and execution culture.

Requirements

• 12+ years of software engineering experience with significant leadership experience managing organizations.
• Strong technical depth in ML systems, infrastructure, and modern machine learning architectures.
• Experience with recommendation systems, marketplace/e-commerce ML, search, or ads systems.
• Proven experience with Generative AI, LLMs, or foundation model architectures.
• Experience operating high-throughput inference systems and distributed training at scale.
• Must have United States work authorization (certain visa categories may not be supported).

Culture & Benefits

• Hybrid work model with mandatory onsite presence on Tuesday, Wednesday, and Thursday.
• Direct impact on a platform with millions of daily users and economic interactions.
• High level of executive support and long-term investment in AI/ML innovation.
• Comprehensive benefits and equity compensation for all full-time employees.