Principal Machine Learning Engineer (AI)

TL;DR

Principal Machine Learning Engineer (AI): Defining and leading the multi-year technical vision and architectural strategy for content safety using machine learning solutions, with an accent on proactive moderation of user-generated content at massive scale. Focus on designing and building end-to-end ML systems, leveraging advanced AI techniques like Computer Vision and Vision-Language Models, and ensuring ethical AI deployment.

Location: Hybrid (San Mateo, CA, United States), requiring onsite presence Tuesday, Wednesday, and Thursday.

Salary: $295,250–$345,040 USD

Company

hirify.global is building a platform empowering a global community of developers and creators to bring immersive 3D digital experiences to life, aiming to connect a billion people with optimism and civility.

What you will do

• Define and lead the multi-year technical vision and architectural strategy for ML solutions in Content Safety.
• Collaborate with executive-level stakeholders to prioritize the strategic machine learning roadmap.
• Oversee the adoption and safe deployment of innovative machine learning techniques (e.g., transfer-learning, self-supervised learning, quantization, LoRA, distillation).
• Drive end-to-end product development, including dataset construction and auto-labeling pipelines.
• Integrate ML solutions into the production stack, dedicating 30-40% of time to backend and integration work.

Requirements

• 8+ years of experience designing, developing, and operating large-scale, high-impact machine learning systems in a production environment.
• Proven track record of setting long-term technical direction for an entire ML domain.
• Deep expertise in advanced ML architectures, including Computer Vision (CV) and/or Vision-Language Models (VLMs).
• Expertise in architecting scalable, real-time ML inference services and robust data pipelines.
• Demonstrated success in leading and resolving high-stakes, cross-functional conflicts.
• Exceptional product sense and strategic planning ability to translate safety requirements into an achievable technical roadmap.

Culture & Benefits

• Working to shape the future of human interaction and create safer, more civil shared experiences.
• Deep sense of responsibility in proactively protecting the community.
• Commitment to ethical AI and building fair, transparent ML systems.
• Eligible for equity compensation and comprehensive benefits.
• Opportunity to develop the next generation of technical leaders, managers, and engineers.