Research Engineer, Evaluations

• Own end-to-end and integration-level model evaluation across accuracy, latency, and feature-specific metrics
• Build and maintain competitive benchmarking pipelines
• Design and run systematic experiments to measure the impact of model changes
• Onboard, curate, and maintain evaluation datasets
• Create evaluation subsets to stress-test specific capabilities and edge cases
• Define evaluation metrics for real-world performance
• Translate qualitative customer feedback into quantifiable evaluation criteria
• Work with customer-facing teams to understand pain points and convert them into research priorities
• Maintain clean evaluation pipelines and clear documentation
• Identify evaluation gaps proactively and propose solutions

• ML fundamentals: Interpret results and debug issues without training from scratch
• Strong Python skills: Write clean evaluation scripts, work with data pipelines, comfortable with SQL and cloud infrastructure
• Metric intuition: Understanding of good evaluation metrics and ensuring statistical rigor
• Voice agent stack familiarity: Understands VAD, ASR, turn detection, LLM, TTS systems interaction
• Tinkerer mentality: Preference for shipping and iterating quickly
• Communication skills: Explain technical results, summarize findings, and translate customer feedback
• Ownership mindset: Proactively fill evaluation gaps
• Work at least 3-4 hours overlapping with Eastern US Time Zone

Pay range: $210K - $260K