ML Research Engineer - Audio at Flair Labs (W24) at Flair Labs

Flair Labs is pioneering the leading AI platform for real estate and lending, empowering teams to build autonomous agents that execute complex workflows across voice and text. We believe the top real estate professionals will be responsible for managing swarms of agents that execute tasks on their behalf, synthesize data from all sources in real time, and help them improve their decision making – Flair Agent platform is the foundation enabling this future.

Skills: Deep Learning, Python, Machine Learning

Mission

• You will work with the founding team on the optimization of the voice AI stack.

• There are several challenges to make a voice AI agent smart, robust and fast.

• You will apply latest research and conduct your own experiments Responsibilities

• Lead model training/finetuning. LLM, Transcriber, Voice, etc.

• Deploy and scale model inference (huge scale).

• Ship product daily while doing research. Tech Profile

• Deep Learning

• Applied AI Research - Audio

• Preferred PhD or equivalent level of research Founder Mindset

• Hard work + independence + Ownership Technology

JavaScript, TypeScript, Node.js, Kubernetes, Rust, Python, PyTorch, LLM training & finetuning.