AI Research Engineer
Design, build, and own production-grade evaluation systems that improve model accuracy and latency. Lead experimentation, fine-tuning, and feedback-based evaluation loops; advance AI/ML orchestration; deploy and maintain machine learning and deep learning models; participate in analytics and data science on-call rotations; mentor peers; and use Python, SQL, MLOps, and evaluation best practices.
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, 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, evaluation metrics, and MLOps practices
- Ability to own systems end-to-end and collaborate cross-functionally
- At least four hours of overlap with PST business hours
- Willingness to participate in on-call rotations
Benefits
- Equity plan eligibility