Data Engineer - Multimodal Systems
Zyphra· R&D - Engineering
San FranciscoFull-timePosted 11mo ago
About the role
Data Engineer focused on creating, collecting, and improving Zyphra’s multimodal datasets and data pipelines (text, audio, image) at scale, collaborating across teams to design parallel data processing pipelines and conduct rigorous experimental ablations.
Responsibilities
- 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
Qualifications
- 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)
Skills
Required:Large-scale data handlingParallel Python programming (Dask)Dataset curation across modalitiesExperimental methodologyPyTorchPythonCollaboration in fast-paced settings
Benefits
- 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
Last updated Aug 6, 2026. Interested? Apply on the company site.
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