# Data Engineer - Multimodal Systems at Zyphra

Data Engineer - Multimodal Systems at Zyphra in San Francisco. On-site, full-time. Posted March 17, 2026.

- Company: Zyphra
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Posted: 2026-03-17
- Apply: https://jobs.ashbyhq.com/zyphra/21201263-16d1-4765-84a4-86408b25d02c/application
- Source: https://jobmagic.ai/jobs/data-engineer-multimodal-systems-zyphra-t2wv7e

## Requirements

- Strong implementation and prototyping ability
- Can take an idea from conception to experimentation quickly
- The ability to work well with others in a high-paced research setting
- Can rapidly learn new fields and are excited to implement new ideas
- Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale.

## Description

### **Zyphra** is an artificial intelligence company based in San Francisco, California.

### **The Role:**

As a** Data Engineer - Multimodal Systems**, you will be a core contributor to creating, collecting, and improving Zyphra’s datasets and data pipelines across a variety of modalities. Your work will intersect with almost every team at Zyphra. You will be involved in collecting large-scale datasets and implementing and optimizing highly parallel data pipelines.

### **You’ll Work Across:**

- Large-scale data collection across a variety of modalities (text, audio, image)

- Designing and working with highly efficient, parallelized data processing pipelines across modalities

- Designing and running rigorous experimental ablations to demonstrate the impact of new data improvements

### **What We're Looking For / Requirements: **

- Strong implementation and prototyping ability

- Can take an idea from conception to experimentation quickly

- The ability to work well with others in a high-paced research setting

- Can rapidly learn new fields and are excited to implement new ideas

- Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale.

### **Qualifications / Additional Skills:**

- Experience collecting, handling, and processing large datasets

- Experience with parallel Python programming frameworks such as Dask

- Understanding of the state-of-the-art in dataset curation across modalities

- A generally meticulous nature and a strong interest in actually looking at data and sanity checking things

- Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing

- Understanding of and interest in large-scale, highly parallel data processing pipelines.

- Proficiency with PyTorch and Python.

- Experience contributing to large pre-existing codebases and rapidly getting up to speed.

- Previously published machine learning research in well-respected venues.

- Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning)

### **Why Work at Zyphra:**

- Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued

- We strongly value new and crazy ideas and are very willing to bet big on new ideas

- We move as quickly as we can; we aim to minimize the bar to impact as low as possible

- We all enjoy what we do and love discussing AI

### **Benefits and Perks:**

- Comprehensive medical, dental, vision, and FSA plans

- Competitive compensation and 401(k) plan

- Relocation and immigration support on a case-by-case basis

- In-office snacks and meals provided

- Unlimited PTO and company holidays

- In-person team in San Francisco with a collaborative, high-energy environment