Drimva

Meta

Software Engineer, Multimedia & Multimodal AI

$154K–$217K

Menlo Park, CA +2 · Remote · Full-time · Posted Sep 23, 2026

Location
Menlo Park, CA
Remote, US
New York, NY
Experience
6+ years of programming experience in a relevant language or 3+ years of experience + PhD; 3+ years building ML systems in production or research settings.
Education
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

About the job

Own multimodal data, evaluation, and training pipelines, and build generative models and measurement systems for speech, sound, and music.

What you'll do

  • Design agentic and human-in-the-loop workflows and scalable data pipelines for multimedia data production.
  • Build evaluation infrastructure combining objective metrics, human listening tests, and correlation analysis.
  • Develop and train generative and representation models; improve training efficiency and reliability, reproduce research, and mentor engineers.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 6+ years of programming experience in a relevant language or 3+ years of experience + PhD; 3+ years building ML systems in production or research settings.
  • Strong Python and PyTorch; experience with speech, audio, or music ML.
  • Experience with large-scale data pipelines and distributed training.

Nice to have

  • Experience building evaluation harnesses and human-evaluation pipelines for generative audio.
  • Experience designing AI agents, orchestration, or human-in-the-loop systems.

Pay

$154,003/year to $217,000/year (base salary)

Tools

Python, PyTorch, ASR, TTS, FFT, diffusion, flow matching

AI focus

Build and train multimodal generative and representation models for speech, sound, and music; develop data and evaluation systems for multimodal AI, including agentic and human-in-the-loop workflows.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)