Software Engineer, Monetization (AI/ML)

TL;DR

Software Engineer, Monetization (AI/ML): Architecting and implementing large-scale, high-performance ML-driven systems for ads ranking and recommendations with an accent on latency, correctness, and continuous improvement. Focus on designing and productionizing LLM- and transformer-inspired models and building infrastructure for training, inference, and optimization.

Location: This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees to the United States.

Salary: $255,000–$405,000 + Offers Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Architect, build, and evolve large-scale ads ranking and recommendation systems using modern ML and AI techniques.
• Design and productionize LLM- and transformer-inspired models leveraging sequential signals and context.
• Develop model-driven decision logic and inference pipelines with real-world constraints around performance, reliability, and privacy.
• Partner with Product, Design, and Research to define requirements and translate ambiguous product goals into scalable ML systems.
• Prototype, experiment, and rapidly iterate on new model architectures and training approaches to improve relevance, quality, and efficiency.
• Build services and infrastructure that support training, evaluation, online inference, and continuous optimization of ML models.

Requirements

• 6+ years of experience building and scaling ML-powered systems in production environments.
• Experience working on ranking, recommendation, ads, marketplaces, or large-scale ML inference systems.
• Comfortable operating across the full stack — from model development to backend services and production deployment.
• Strong intuition for ML and system design tradeoffs, and the ability to reason about long-term scalability and maintainability.
• Ability to communicate clearly and collaborate effectively across disciplines, thinking holistically about system behavior.

Culture & Benefits

• Work in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment.
• Opportunity to work on modern, transformer- and LLM-inspired architectures that move beyond traditional feature engineering.
• Your work will have a direct revenue impact and make ChatGPT and other products accessible to more people.
• Contribute to technical strategy and help shape the long-term evolution of hirify.global’s monetization and recommendation stack.
• Opportunity to embed safety, fairness, and policy considerations directly into model design and system architecture.
• Committed to providing reasonable accommodations to applicants with disabilities and is an equal opportunity employer.