AI Modeling Engineer

Palona AI
Los Altos, CA
Job Description
Role Overview

We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety, latency, and cost of Palona’s voice and multimodal agents. You will own problems across model selection and routing, prompting and context, fine-tuning or post-training when justified, speech and language quality, evaluation methodology, dataset development, and model behavior in production.

What You Will Do

Develop modeling and experimentation strategies for high-impact agent problems in voice, language, reasoning, ordering, multilingual behavior, and multimodal understanding. Build rigorous offline and online evaluations that measure task completion, accuracy, safety, latency, cost, conversational quality, and business outcomes.

Why It Might Be a Fit

You will work closely with product, full-stack, infrastructure, and customer-facing engineers to move from hypothesis to experiment to reliable deployment. You will partner with speech and real-time engineers to improve ASR, TTS, turn-taking, interruption handling, pronunciation, multilingual behavior, and end-to-end latency.

Requirements

  • 3+ years of industrial experience in relevant technical domain
  • Strong machine learning foundations and hands-on experience developing or evaluating production AI systems
  • Strong Python skills and experience with modern ML tooling such as PyTorch, JAX, Hugging Face, or equivalent systems
  • Practical experience with LLMs, speech models, multimodal models, or agentic systems
  • Ability to design reliable experiments, define useful metrics, analyze noisy results, and avoid optimizing against weak proxies
  • Experience building datasets, evaluation harnesses, model services, or training and inference pipelines
  • Strong software engineering judgment; your work is reproducible, tested, observable, and usable by other engineers
  • Ability to connect modeling choices to product constraints including latency, cost, privacy, safety, and user experience
  • AI-native working habits and genuine curiosity about new model capabilities and limitations

Benefits

  • Competitive Salary
  • Stock Option Plan
  • Medical, dental, vision, retirement, leave, and disability benefits as applicable
  • Family Leave
  • Short Term & Long Term Disability
  • Paid time off and company holidays
  • Learning and development support
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