Data Engineer - Multimodal Systems

About this role

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