AI Research Engineer

You will design, build, and own production-grade evaluation systems that drive measurable improvements in model accuracy and latency. You will lead experimentation, fine-tuning, and feedback-based evaluation loops, and advance the orchestration of AI/ML systems to ensure scalable, resilient production deployments. You will deploy and maintain machine learning and deep learning models in production, participate in analytics and data science on-call rotations, and mentor peers to raise engineering standards. You will use Python and SQL extensively and apply ML Ops and evaluation best practices in your day-to-day work.

Responsibilities

• Design and build production-grade evaluation systems
• Lead experimentation, fine-tuning, and feedback-based evaluation loops
• Advance orchestration of AI and ML systems for scalable and resilient deployments
• Deploy and maintain machine learning and deep learning models in production
• Own critical systems end-to-end
• Participate in analytics and data science on-call rotations
• Mentor peers and elevate technical standards

Requirements

• Advanced programming expertise in Python
• Advanced programming expertise in SQL
• Strong system design skills
• Deep experience deploying machine learning and deep learning models in production
• Experience with LLMs or Generative AI preferred
• Foundation in experimentation frameworks and evaluation metrics
• Knowledge of MLOps practices
• Proven ability to own systems end-to-end and collaborate cross-functionally
• Willingness to overlap with PST business hours and participate in on-call rotations

Benefits

• Equity plan eligibility