Applied ML Engineer - Edge Devices

  • $155K - $245K / year
  • US only
  • Posted about 2 months ago

About the role

Adapt Deepgram speech models to edge devices and non-NVIDIA accelerators. The work covers operator changes, quantisation, accuracy and latency benchmarking, and repeatable deployment onto constrained hardware. You will collaborate with embedded engineers on custom kernels; production Python and PyTorch experience matters.

Remote: United States.

Employer posting date: 2026-09-14.

Skills

How to apply

Apply directly on the employer's application page. Your application goes straight to them.

More from Deepgram

  1. Senior Analytics Engineer, Decision Intelligence

    Deepgram US only

    $185K - $240K per year
    dbt Data / ML
  2. Security Engineer

    Deepgram US only

    $150K - $245K per year
    Security Engineering Security
  3. Staff Product Designer, Conversational AI

    Deepgram US only · United States; Pacific Time, San Francisco preferred

    $180K - $240K per year
    AI Design
  4. Director, Text-to-Speech Synthesis Research

    Deepgram US only

    $213K - $328.3K per year
    Machine Learning Leadership

Jobs like this

  1. Staff Machine Learning Scientist

    Dave US only · United States, except Hawaii

    $208K - $269K per year
    Machine Learning Data / ML
  2. Software Engineer, New Grad, Machine Learning Platform

    Quora North America · United States or Canada

    $97.6K - $139K per year
    Machine Learning Data / ML
  3. Senior/Staff Credit Data Scientist

    Splash Financial US only · United States

    $143K - $220K per year
    Data Science Data / ML
  4. Senior Data Scientist, Platform

    Coinbase US only · United States

    $180.4K - $212.2K per year
    Data Science Data / ML

Republished listing

This opportunity was discovered on Deepgram's public careers page and is republished here for discovery purposes. Applications are handled by the employer.

If this is your role and you want it off the board, contact us.