AI Research Engineer
Skills
About the Role
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.
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
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
Benefits
- Equity plan eligibility