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:
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Large-scale data collection across a variety of modalities (text, audio, image)
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Designing and working with highly efficient, parallelized data processing pipelines across modalities
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Designing and running rigorous experimental ablations to demonstrate the impact of new data improvements
What We’re Looking For / Requirements:
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Strong implementation and prototyping ability
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Can take an idea from conception to experimentation quickly
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The ability to work well with others in a high-paced research setting
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Can rapidly learn new fields and are excited to implement new ideas
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Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale.
Qualifications / Additional Skills:
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Experience collecting, handling, and processing large datasets
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Experience with parallel Python programming frameworks such as Dask
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Understanding of the state-of-the-art in dataset curation across modalities
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A generally meticulous nature and a strong interest in actually looking at data and sanity checking things
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Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing
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Understanding of and interest in large-scale, highly parallel data processing pipelines.
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Proficiency with PyTorch and Python.
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Experience contributing to large pre-existing codebases and rapidly getting up to speed.
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Previously published machine learning research in well-respected venues.
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Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning)
Why Work at Zyphra:
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Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued
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We strongly value new and crazy ideas and are very willing to bet big on new ideas
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We move as quickly as we can; we aim to minimize the bar to impact as low as possible
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We all enjoy what we do and love discussing AI
Benefits and Perks:
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Comprehensive medical, dental, vision, and FSA plans
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Competitive compensation and 401(k) plan
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Relocation and immigration support on a case-by-case basis
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In-office snacks and meals provided
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Unlimited PTO and company holidays
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In-person team in San Francisco with a collaborative, high-energy environment