Research Engineer - Design Generation Modeling

This role is based in San Francisco, CA.

Compensation:

$180,000 - $225,000 per year

Responsibilities:

• Develop and optimize ML data pipelines and training workflows.
• Collaborate with research scientists and ML engineers on experiments.

Requirements:

• Experience with distributed training using libraries like DeepSpeed and Torch.
• Familiarity with GANs, diffusion modeling, and transformer architectures.
• Experience in cloud environments, ideally AWS.

Nice to Haves:

• Experience with modeling design data and Graph Neural Networks.
• Ability to prototype ML demos with user interfaces.