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Research Engineer - Inference

ElevenLabs

Remote · United StatesSalary not disclosedfull-timeElevenLabs Careers

We are looking for a Research Engineer to join the research team at ElevenLabs, focused on deploying and optimizing our frontier AI models in production. The quality of our models only matters if they can be served fast, reliably, and at scale.

Responsibilities

  • ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
  • ElevenAPI gives developers access to our leading AI audio foundational models.
  • Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
  • Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
  • We are looking for a Research Engineer to join the research team at ElevenLabs, focused on deploying and optimizing our frontier AI models in production. The quality of our models only matters if they can be served fast, reliably, and at scale. You will own the systems that turn research breakthroughs into real-time products used by millions. You will thrive in this role if you enjoy:
  • Deploying state-of-the-art models to production and owning the path from research checkpoint to serving infrastructure.
  • Building and tuning high-performance serving systems for real-time, streaming workloads where every millisecond matters.
  • We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring:
  • Experience deploying and serving ML models in production, ideally for latency-sensitive or real-time applications.
  • The capacity to autonomously profile, diagnose, and eliminate bottlenecks across the serving stack, from model architecture to kernels to orchestration, and to build the tooling to measure it.

Languages

    Work format
    Remote
    Seniority
    Mid
    Posted
    28 Aug 2026
    Last verified
    In the last 5 days

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