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Machine Learning Researcher, Multimodal LLMs
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 and implement next-gen multimodal LLMs for conversational AI.
- •We are looking for someone to contribute to the development of our next-generation multimodal LLM stack, combining speech, text, tools, and real-time reasoning into a single unified system.
- •Key Responsibilities Build industry-leading conversational AI models that power Bland's agent.
- •Integrate streaming audio, tool execution, and dynamic context into a single coherent system.
- •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 neural audio codecs and modern multimodal LLM techniques.
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
