Senior ML Engineer

📋 Description

• Improve how our agents understand callers, choose actions, and complete bookings across voice
• Build evaluation pipelines and judges that measure agent quality on real conversations, catch
• Fine-tune, distill, and route models to hit the latency and cost budgets of real-time voice while
• Build the data loops that turn conversation outcomes, practice feedback, and corrections into
• Own speech and voice quality where it meets the model: transcription, turn-taking, interruption
• Work with product engineers to ship model improvements into production and measure their effect on

🎯 Requirements

• 3+ years building and deploying machine learning or LLM systems in production
• Deep experience with LLM evaluation, fine-tuning, prompt and model routing, or speech systems
• Strong engineering fundamentals: you write production code and own what you ship
• Rigorous about measurement, and comfortable designing evaluations when none exist
• Pragmatic about latency, cost, and reliability in real-time systems
• Comfortable working with messy real-world conversation data and the privacy obligations of