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About the role
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
Compensation and Benefits
Competitive base salary plus equity, performance-based bonus
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