Founding ML Research Engineer – Real-Time Voice AI

Stealth Startup; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Stealth Startup is seeking a Founding Machine Learning Research Engineer to push the boundaries of real-time AI. You will explore LLMs, speech models, and multimodal AI to build voice agents capable of operating in complex environments.

You will design evaluation methodologies, prototype systems, and improve reasoning, latency, and conversational intelligence with direct impact on production-scale deployments.

Qualifications

• Strong ML research background in areas like LLMs and ASR.
• Proficiency with PyTorch and deep learning theory.
• Advanced mathematics foundational to ML.
• Master's degree is required; PhD preferred or equivalent experience.

Responsibilities

• Research and develop novel techniques across LLMs, speech, and multimodal AI.
• Improve reasoning, latency, and conversational quality in systems.
• Design evaluation frameworks and datasets reflecting real-world use.
• Prototype models and pipelines; validate ideas through experiments.
• Collaborate with engineering to deploy research into production.

Skills

LLM pre-training

Speech recognition

Multimodal AI

Python

PyTorch

Reinforcement learning with human反馈

Education

Master's degree in Computer Science or related field

PhD preferred or equivalent research experience

Tools

PyTorch

Job description

Stealth Startup is seeking a Founding Machine Learning Research Engineer to push the boundaries of real-time AI. You will explore LLMs, speech models, and multimodal AI to build voice agents capable of operating in complex environments.

You will design evaluation methodologies, prototype systems, and improve reasoning, latency, and conversational intelligence with direct impact on production-scale deployments.