Role description
ZyphraZyphra 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