Research Engineer — Foundation Models
Research · Palo Alto, CA · Full-time · Hybrid
$220k – $300k + Equity
Join a small team pushing the limits of scalable vision-language and 3-D priors.
Responsibilities
- Implement distributed training on 1k+ H100 cluster (DeepSpeed, FSDP).
- Curate synthetic & human-rated datasets for scene understanding.
- Benchmark models on academic + internal creator metrics; publish findings.
Minimum Qualifications
- Strong PyTorch or JAX fundamentals; contributed to large-scale ML infra.
- Familiarity with NeRF, point-cloud or mesh representation learning.
- MS/PhD in ML, CV, or equivalent track record (top-tier papers a plus).