Data Engineer - Multimodal Systems

Bison; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

FSA plans

401(k) plan

Relocation support

Immigration support

Snacks and meals

Unlimited PTO

Company holidays

In-person SF team

Job summary

Zyphra in San Francisco is seeking a Data Engineer - Multimodal Systems to help build data pipelines across text, audio, and image modalities, collecting datasets, and optimizing parallel processing.

You will collaborate across teams, prototype quickly, and contribute to rigorous ablations and experiments while refining data curation practices. The role offers relocation support and on-site perks in a fast-paced AI research environment.

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.
• 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

Skills

Python

PyTorch

Data processing

Multimodal data

Collaboration

Experimentation

Education

Postgraduate degree in CS/ML/EE/EECS

Tools

Dask

Job description

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