Machine Learning Researcher, Audio

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

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

• Familiarity with streaming or real-time inference is a strong plus

• Ability to reason about full systems, not just models

• Comfortable designing interactions between:

  • model

  • tools

  • prompts

  • runtime constraints

• You can go from idea → dataset → experiment → conclusion in days

• You know how to design experiments that actually answer the question

• Strong sense for what makes an interaction feel natural vs robotic

• Ability to translate abstract modeling ideas into user-facing improvements

• You take ownership from research through deployment

• You thrive in ambiguous, fast-moving environments

• You care about impact, not just elegance

• You think in systems, not just models

• You obsess over latency, correctness, and real-world behavior

• You are comfortable discarding ideas quickly when data disagrees

• You push toward simple abstractions for complex problems

• 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

Your work will define how our agents:

• understand users in real time

• decide when to respond

• choose what tools to call

• balance speed vs correctness

• behave under complex policies

This is the core intelligence layer of the product.