About the RoleCreate the specialized vision and language models that power Pulse. You will have autonomy to train and fine-tune models and to ship improvements to production.
Responsibilities- Train and fine tune OCR, layout, table, and vision-language models
- Build evaluation, data curation, and active learning pipelines
- Optimize inference, batching, and quantization on GPU
- Productionize models with clear SLAs and rollback plans
- Write internal notes that inform model and product roadmaps
Requirements- 3+ years in applied ML or research, or strong open source record
- PyTorch or JAX, and modern vision or multimodal architectures
- Solid engineering discipline and metrics focus
Nice to have- Triton Inference Server, TensorRT, ONNX, distributed training
SponsorshipSponsorship available.
Compensation and benefitsCompetitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.
