Machine Learning Researcher, Multimodal LLMs

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 quickly iterate from idea to experiment with concrete conclusions.
• Strong intuition for natural user interactions and user-facing improvements.

Responsibilities

• Contribute to the development of next-generation multimodal LLM stack.
• Build industry-leading conversational AI models for Bland's agent.
• Integrate streaming audio, tool execution, and dynamic context into a coherent system.
• Take research ideas through to production systems serving millions of calls daily.
• Maintain focus on optimizing latency, correctness, and real-world behavior.

Benefits

• Meaningful equity.
• Full healthcare, dental, and vision coverage.
• High autonomy in a dynamic work environment.
• Opportunity to impact real-world applications and user experiences.