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Deepgram
Deepgram
51 – 200 Zaposleni
Sponzor vizuma H1BLogistikaSvetovanjeZdravstveno varstvo
Deepgram je podjetje na področju glasovne umetne inteligence, ki razvija API-je za pretvorbo govora v besedilo, pretvorbo besedila v govor in razumevanje jezika. Njegova platforma razvijalcem pomaga ustvarjati glasovne aplikacije v realnem času, vključno s pogovorno umetno inteligenco, orodji za kontaktne centre in delovnimi postopki za medicinsko transkripcijo. Z obdelavo govorjenega jezika s poudarkom na natančnosti, hitrosti in stroškovni učinkovitosti Deepgram organizacijam v zdravstvu, logistiki, svetovanju in drugih sektorjih omogoča pretvarjanje glasovnih podatkov v koristne informacije in interaktivne izkušnje.
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Delovna mesta v podjetju

Lead Research Scientist, Voice AI Foundations

Advance foundational voice AI research at Deepgram, from latent-space models and neural audio codecs to speech-to-speech systems. Build scalable, efficient technology for real-time human–machine interaction.

NLNizozemskaNa daljavoPolni delovni časVodjaZahtevani Jezik: angleščinaUmetna inteligenca

Opis

  • Develop latent-space models to tackle core data, scale, and cost challenges in robust, contextual voice AI.
  • Create neural audio codecs that combine very low bit rates with high-fidelity reconstruction.
  • Build steerable generative models for varied speech, including emotional, multi-speaker, noisy, and overlapping speech.
  • Design embedding systems that separate latent representations into speaker, content, style, environment, and channel dimensions.
  • Apply latent recombination to produce synthetic audio data at unprecedented scale.
  • Train multimodal speech-to-speech systems for broad understanding and empathetic, human-like responses.
  • Design model architectures, training methods, and inference algorithms for bare-metal hardware.
  • Support cost-efficient training on billion-hour datasets and real-time inference across hundreds of millions of concurrent conversations.
  • Run controlled experiments, ablation studies, evaluations, and stress tests.
  • Contribute to research publications and open-source projects.

Zahteve

  • Strong mathematical grounding in statistical learning theory, especially self-supervised and multimodal learning.
  • Deep knowledge of foundation model architectures and scaling training across multiple modalities.
  • Ability to develop original mathematical formulations and implement them efficiently.
  • Proven ability to build and maintain large, high-quality, diverse data pipelines.
  • Experience designing controlled experiments to isolate architectural effects and test theoretical insights.
  • Experience preparing models for real-world deployment, including hardware constraints and efficiency methods.
  • Record of open-source contributions or research publications advancing speech or language AI.
  • Ability to identify decisive experiments that quickly test ideas.
  • Vision for scaling successful proofs of concept by 100 times.
  • An AI automation and augmentation mindset.
  • Scholarly literature or academic publications related to speech processing, speech-to-text, text-to-speech, or similar work, as requested in the application.
  • Legal authorization to work in the country where the role is based.
  • Ability to meet visa sponsorship requirements for the country where the role is based.

Ugodnosti

  • Remote work arrangement.
  • AI-first work environment with opportunities to use and experiment with advanced AI tools.
  • Opportunity to work on transformative voice AI research.
  • Opportunity to contribute to open-source projects and research publications.
  • Interview recording with the AI Notetaker is optional; opting out does not affect candidacy.

Sorodna delovna mesta

Crash Champions

General Manager, Collision Repair – Pompano Beach

Crash Champions
Sponzor vizuma H1BAvtomobilska industrijaE-trgovinaProizvodnja
USZdružene države AmerikeFLFlorida
75.000 $ – 141.750 $ / leto
Na lokacijiPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaVodja

Lead daily collision repair operations at Crash Champions’ Pompano Beach center, overseeing production, staffing, repair quality, estimates, and performance goals. Support and develop the team while managing work from vehicle intake through delivery.

Odpri