Machine Learning Researcher, Multimodal LLMs

The role

You will contribute to the development of a next-generation multimodal LLM stack. You will build conversational AI models and take them from idea to production systems serving millions of calls per day.

What you will do

• Contribute to the development of the next-generation multimodal LLM stack
• Build industry-leading conversational AI models
• Take models from idea to production
• Define how agents listen, think, and act in real time
• Integrate streaming audio, tool execution, and dynamic context into a single coherent system

Required qualifications

• 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
• Ability to go from idea to dataset to experiment to conclusion in days
• Ability to design experiments that answer the question
• Ability to translate abstract modeling ideas into user-facing improvements
• Take ownership from research through deployment

Nice to have

• Experience with real-time voice systems or conversational AI
• Background in tool-using agents or agent frameworks
• Experience with multimodal datasets (audio + text + actions)
• Contributions to LLM or speech-related research or open source

Benefits

• Competitive salary
• Meaningful equity
• Full healthcare
• Dental
• Vision
• Office in Levi's Plaza, SF
• High autonomy
• High impact

Before you apply

• All new hires are required to complete the Form I-9
• Employment will be verified through E-Verify as part of the onboarding process

About the company

Bland.com's mission is to empower enterprises to build AI phone agents at scale. They build the models and infrastructure that make voice interactions feel natural, reliable, and genuinely human.