AI Research Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop, construct, and take ownership of a production-grade evaluation system that facilitates measurable enhancements in model accuracy and latency.

• Spearhead experimentation, fine-tuning, and feedback-driven evaluation cycles for ongoing model optimization.

• Enhance the orchestration of AI/ML systems, guaranteeing scalable, resilient, and impactful deployments.

• Raise technical standards through engineering excellence, mentorship, and leadership in a senior individual contributor role.

⛳️ Requirements

• Proficient programming skills in Python and SQL, accompanied by robust system design capabilities.

• Extensive experience in deploying machine learning and deep learning models in production environments (experience with LLM/GenAI is highly preferred).

• Solid grounding in experimentation frameworks, evaluation metrics, and ML Ops methodologies.

• Demonstrated ability to manage critical systems from end-to-end and collaborate effectively with cross-functional teams.

🏝️ Benefits

• Additionally, this position may qualify for TRM’s equity plan.

• We acknowledge that this operational style may not suit everyone. If your primary focus is on predictability or maintaining a consistently balanced workload, we encourage you to utilize the interview process to assess whether this environment aligns with your preferences.

• Individuals who succeed here are invigorated by tackling challenging problems, engaging in experimentation, and valuing continuous feedback.

• Priorities and objectives may shift rapidly as we engage in experimentation and iteration.

• Emphasis on creative problem-solving and innovative thinking.