Machine Learning Researcher, Multimodal LLMs

About the job

Responsibilities

• Contribute to the development of a 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 unified 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.
• Ability to go from idea to dataset to experiment to conclusion in days.
• Ability to design experiments that answer the question.
• Strong sense for what makes an interaction feel natural vs robotic.
• Ability to translate abstract modeling ideas into user-facing improvements.
• Take ownership from research through deployment.
• Thrive in ambiguous, fast-moving environments.
• Care about impact, not just elegance.
• Think in systems, not just models.
• Obsess over latency, correctness, and real-world behavior.
• Comfortable discarding ideas quickly when data disagrees.
• Push toward simple abstractions for complex problems.

Benefits

• Competitive salary: $160,000 – $280,000
• Meaningful equity
• Full healthcare, dental, vision
• Office in Levi's Plaza, SF
• High autonomy, high impact