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Machine Learning Researcher, Audio
BlandConversational AI, company
San Francisco, United States$180K - $260KSenior
HubSpot Ventures
Emergence Capital
Upfront Ventures
Dell Technologies Capital
Archerman Capital
Tribeca Venture Partners
Data & AI
About the role
TL;DR
Develop next-gen multimodal LLM stack for conversational AI.
- •We are looking for a Machine Learning Researcher to develop our next-generation multimodal LLM stack, combining speech, text, tools, and real-time reasoning into a unified system.
- •Key Responsibilities Spearhead the development of multimodal LLM stack Integrate streaming audio, tool execution, and dynamic context into a coherent system Build industry-leading conversational AI models Take ideas from research through production systems serving millions of calls per day Requirements Strong LLM / Multimodal Background Experience with LLMs, multimodal models, or speech-language systems Deep understanding of prompting, fine-tuning, and alignment techniques Familiarity with streaming or real-time inference is a strong plus
Required skills
LLMs
Domain expertise
ai
Benefits & perks
Competitive salary, Meaningful equity, Full healthcare, dental, vision, Office in Jackson Square, SF, High autonomy, high impact
Tech stack
LLMs