ML Research Engineer - Audio

AI agents to automate phone calls in the logistics industry
San Francisco Bay Area, CA, USA
$120,000 - $180,000
Machine Learning
Senior Software Engineer
In-Person
1 - 10 Employees
3+ years of experience
AI · Logistics

Description For ML Research Engineer - Audio

Happyrobot is a SaaS platform (+dev tools) for building and deploying AI agents that talk on the phone. Freight brokers and other logistics enterprises use it to handle sales and customer service calls. We handle thousands of daily calls in production, and growing fast.

As an ML Research Engineer - Audio at Happyrobot, you will:

  • Work with the founding team on the optimization of the voice AI stack.
  • Tackle challenges to make voice AI agents smart, robust, and fast.
  • Apply the latest research and conduct your own experiments.

Your responsibilities will include:

  • Leading model training/finetuning for LLM, Transcriber, Voice, etc.
  • Deploying and scaling model inference at a huge scale.
  • Shipping product daily while conducting research.

We're looking for someone with:

  • Deep Learning expertise
  • Applied AI Research experience, particularly in Audio
  • Preferably a PhD or equivalent level of research

The ideal candidate will have a founder mindset, characterized by hard work, independence, and ownership.

Happyrobot builds AI agents to automate phone calls in the logistics industry. From simple check calls with truck drivers to contract price negotiations between enterprises, our AI agents provide and gather information more efficiently than other alternatives. We believe that voice will become a much more prevalent interface for digital systems, and we're building the tools to make that possible.

Join us in revolutionizing the logistics industry through cutting-edge AI technology!

Last updated 14 days ago

Responsibilities For ML Research Engineer - Audio

  • Lead model training/finetuning for LLM, Transcriber, Voice, etc.
  • Deploy and scale model inference at a huge scale
  • Ship product daily while conducting research
  • Work with the founding team on the optimization of the voice AI stack
  • Apply the latest research and conduct your own experiments

Requirements For ML Research Engineer - Audio

Python
  • Deep Learning expertise
  • Applied AI Research experience, particularly in Audio
  • Preferably a PhD or equivalent level of research
  • 3+ years of experience

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