Назад
4 часа назад

Backend Software Engineer (AI)

150 000 - 220 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Backend Software Engineer (AI): Designing and implementing secure, robust, and scalable services for speech processing and distributed compute orchestration with an accent on performance optimization and low-latency systems. Focus on building reusable code, debugging complex system interactions, and integrating advanced AI tools into daily development workflows.

Location: Must be based in the USA (Remote)

Salary: $150,000 – $220,000 base salary + equity + 10% annual bonus

Company

Deepgram is a leading Voice AI platform providing real-time speech-to-text and text-to-speech APIs for over 1,300 organizations.

What you will do

  • Improve core inference services, focusing on networking, audio transcoding, and latency/memory optimization.
  • Develop processes for measuring and maximizing system performance.
  • Debug complex system issues involving networking, scheduling, and high-performance computing.
  • Rapidly customize backend services to meet specific customer requirements.
  • Partner with Product teams to design and implement new features end-to-end.

Requirements

  • 3+ years of industry experience.
  • Proficiency in Rust (or C/C++) and competence in Python.
  • Comprehensive experience with UNIX-style systems.
  • Strong understanding of version control (Git).
  • Excellent communication and organizational skills.
  • Must be based in the USA.

Nice to have

  • Experience with modern machine learning frameworks like Torch.
  • Implementation knowledge of CNNs, RNNs, and transformers.
  • Experience with audio processing.

Culture & Benefits

  • AI-first culture where active use of AI tools is core to performance and innovation.
  • Fast-paced, impact-driven environment.
  • Equity and bonus opportunities.
  • Focus on continuous learning and rapid adaptation.

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