Data Engineer - Multimodal Systems at Zyphra (San Francisco, CA)Data Engineer - Multimodal Systems

ZYPHRA IS AN ARTIFICIAL INTELLIGENCE COMPANY BASED IN SAN FRANCISCO, CALIFORNIA.

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.

• 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.

• 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)

• 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

• 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