Role Overview

Principal AI Engineer is a leadership position. You will lead the execution of our AI initiatives, managing day-to-day development while being highly hands-on in research, engineering, and deployment. You’ll ensure that our AI models are not only cutting-edge but also production-ready, scalable, and deeply integrated into the product experience.

Key Responsibilities

• Hands-On Development: Lead design, training, and optimization of ML models.
  
  

• Execution & Delivery: Translate strategic goals into actionable technical milestones and deliver AI features to production.
  
  

• System Integration: Collaborate with product and engineering teams to embed AI models

• Experimentation & Evaluation: Establish rigorous evaluation metrics
  
  

• Team Leadership: Mentor and grow a world-class team of AI researchers and ML engineers.
  
  

• Operational Rigor: Own infrastructure for training, deployment, and monitoring
  
  

Qualifications

• 5+ years of experience in Deep Learning (LLMs / Generative AI).
  
  

• Experience training diffusion or flow-based models is a strong plus.
  
  

• Additional advantages include:
  
  

  • Experience with distributed training of large-scale models (multi-node / 128+ GPUs).
    
    

  • Hands-on model architecture design.
    
    

  • Team leadership experience (small research or engineering teams).
    
    

• Publications at top-tier ML conferences are a significant advantage.