Data Engineer - Multimodal Systems

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