AI/ML Engineer

About the Role

Join an AI/ML team building tools to make production AI agents more reliable. You will own the intelligence that identifies agent failures, assesses confidence, and checks whether proposed fixes work.

What You'll Do

• Detect subtle failures, including omissions, compliant but incorrect responses, and patterns that emerge across large volumes of traces.
• Turn user behavior signals, such as rephrasing, abandonment, and retries, into evidence of agent failures.
• Build evaluation methods to measure detection precision when labeled ground truth is limited or unavailable.
• Make patch generation trustworthy by reproducing failures, verifying proposed fixes, and avoiding low-confidence changes.
• Improve the cost efficiency of detection, choosing appropriate models and approaches for each event.
• Review production customer traces regularly to identify problems and opportunities for improvement.

What We're Looking For

• Demonstrated AI/ML engineering experience; candidates with 0 to 10 years of experience are welcome, including new graduates and people without a traditional degree.
• Hands-on experience using LLMs in production, including evaluations, LLM-as-judge, embeddings, and deciding when a smaller model or no model is appropriate.
• An individual-contributor engineering background and a track record of shipping products that people use.
• Strong research judgment and the ability to distinguish meaningful improvements from noise, especially when ground truth is unavailable.
• Experience running agents in production and learning from their failures is a plus.