Drimva

Zyphra

Data Engineer - Multimodal Systems

San Francisco · On-site · Full-time · Posted Mar 17, 2026

Education
Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning).
Visa sponsorship
Relocation and immigration support on a case-by-case basis.

About the job

Build and improve multimodal datasets and highly parallel data pipelines, and evaluate data improvements through rigorous experiments.

What you'll do

  • Collect large-scale datasets across text, audio, and image modalities.
  • Design and optimize efficient, parallelized data processing pipelines.
  • Run experimental ablations to measure the impact of data improvements.

What they ask for

  • Strong implementation and prototyping ability.
  • Experience collecting, handling, and processing large datasets.
  • Proficiency with PyTorch and Python.
  • Ability to collaborate effectively in a fast-paced research setting.

Nice to have

  • Experience with parallel Python frameworks such as Dask.
  • Previously published machine learning research in well-respected venues.

Tools

Dask, PyTorch, Python

AI focus

Supports AI research through multimodal dataset curation, data pipeline development, and experimental evaluation.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)