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Realtime voice models and LLM inference for consumer apps.

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About Inworld AI

The company, in brief.

What they do

Inworld AI is a research lab and inference provider for realtime AI in consumer apps. It builds its own speech models, such as text to speech and speech to text. It also serves open LLMs through an API. Apps for companions, learning, health, and fitness use it. Lightspeed, Kleiner Perkins, Founders Fund, and others have invested more than $125M.

What they value

  • Learn fast and do well in ambiguity.
  • Evidence over credentials: show what you have built.
  • Ship the work. Impact comes before papers.
  • Ask why, and question an approach when there is a better way.
  • Flat structure, fast iterations, and little process.

Where they hire

Of 18 Postings, ten are in Mountain View. Most of these are in the office at least a few days a week. The other eight are remote in Switzerland, Germany, Serbia, and the UK. The UK and Switzerland Postings offer no visa sponsorship. They say US visa support may be possible for a later move to the Bay Area.

Teams and roles

Research, machine learning, and the inference platform have 12 of the 18 Postings.

  • Research scientists for models: five roles, in Mountain View and each European country.
  • Machine learning engineers for inference: six roles, in Mountain View and each European country.
  • One staff or principal software engineer for the inference platform.
  • Go-to-market: a GTM lead, a head of customer success, a founding technical account manager, and a sales development role, all in Mountain View.
  • One content marketing manager and one contract AI trainer for voice evaluation.

What they look for

Fourteen Postings ask for people who learn fast and do well in ambiguity. Eleven say they look at what a person has built, not at a resume or credentials. Eleven name a PhD, in ML, NLP, computer science, physics, or math, or equal practical work. All seven inference Postings name tools such as CUDA, Triton, TensorRT, or vLLM. The five research Postings list papers at venues such as NeurIPS and ICML as useful.

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