Machine Learning Researcher, Audio

At Bland.com , our mission is to empower enterprises to build AI phone agents at scale. Voice is quickly becoming the primary interface between businesses and their customers, and we are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human.

We’ve raised $65M from leading investors including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs.

We are looking for someone to spearhead the development of our next-generation multimodal LLM stack, combining speech, text, tools, and real-time reasoning into a single unified system. You’ll be responsible for building industry-leading conversational AI models that power Bland's agent, and taking them all the way from idea to production.

At Bland, we're not just thinking about text modeling. You will define how our agents listen, think, and act in real time , integrating streaming audio, tool execution, and dynamic context into a single coherent system.

This role sits at the intersection of:

LLM architecture and fine-tuning

real-time speech systems

agent design (prompting + tools + policies)

multimodal reasoning (audio + text + actions)

You will take ideas from research through production systems serving millions of calls per day.

Experience with LLMs, multimodal models, or speech-language systems

Deep understanding of prompting, fine-tuning, and alignment techniques