Bland
Machine Learning Researcher, Multimodal LLMs
$160K–$280K
San Francisco · Full-time · Posted Apr 21, 2026
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- Bland participates in the E-Verify employment verification program; new hires must complete Form I-9 and employment is verified through E-Verify.
About the job
Develop and deploy multimodal conversational AI models that combine speech, text, tools, and real-time reasoning for Bland’s phone agents.
What you'll do
- Build multimodal LLMs and agent systems, integrating streaming audio, tool execution, and dynamic context.
- Take research ideas through experimentation and production deployment.
- Improve real-world interaction quality, latency, and correctness.
What they ask for
- 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 design and run experiments, and take ownership from research through deployment.
Nice to have
- Experience with real-time voice systems or conversational AI, tool-using agents or agent frameworks, or multimodal datasets.
- Contributions to LLM or speech-related research or open source.
Pay
$160,000 – $280,000 USD base salary
Tools
LLMs
AI focus
Research, build, and deploy multimodal conversational AI combining speech, text, tools, and real-time reasoning.
Model-written summary · the original posting is authoritative