Data Engineer - Multimodal Systems

The role

You will create, collect, and improve datasets and data pipelines across various modalities. You will collect large-scale datasets and implement and optimize highly parallel data pipelines.

What you will do

• Large-scale data collection across text, audio, and image modalities
• 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

Required qualifications

• 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
• 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

Nice to have

• Previously published machine learning research in well-respected venues
• Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning)

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

About the company

Zyphra is an artificial intelligence company based in San Francisco, California.