Data Engineer - Multimodal Systems
About The Position
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
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.
Nice To Haves
- 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)
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
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
