Founding ML Research Engineer, Real-Time Voice AI

Stealth Startup; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Stealth Startup is seeking a founding Machine Learning Research Engineer to advance real-time AI. You will explore state-of-the-art approaches across LLMs, speech models, and multimodal AI to build human-like voice agents for complex environments.

Design evaluation methodologies, prototype innovative systems, and improve reasoning, latency, and conversational intelligence. Your research will influence production systems and bridge cutting-edge ML with large-scale deployment.

Qualifications

• Strong ML research background in LLM pre-training and post-training.
• Expertise in speech models and ASR.
• Solid foundation in modern ML architectures, math, and algorithms.

Responsibilities

• Research and develop techniques across LLMs, speech models, and multimodal AI.
• Improve reasoning, latency, and conversational quality.
• Explore new training paradigms, architectures, and inference techniques.
• Design, train, and iterate on ML models and supporting pipelines.
• Rapidly prototype ideas and validate them through experiments.
• Optimize models for production performance and scalability.
• Create evaluation frameworks and datasets to reflect real-world interactions.

Skills

ML research

LLM

ASR

Deep learning

Mathematics

Education

Master's degree in CS/AI/ML

PhD preferred

Tools

PyTorch

Job description

Stealth Startup is seeking a founding Machine Learning Research Engineer to advance real-time AI. You will explore state-of-the-art approaches across LLMs, speech models, and multimodal AI to build human-like voice agents for complex environments.

Design evaluation methodologies, prototype innovative systems, and improve reasoning, latency, and conversational intelligence. Your research will influence production systems and bridge cutting-edge ML with large-scale deployment.