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Hover to preview, click to open the editor and try it. Every card renders with real layout — no image placeholders.
A resume for an industry research lab or applied-ML role blends academic rigor with product impact: it should cover publications, shipped projects, and your technical stack. Two pages are acceptable for senior or heavily published candidates.
A letterpress header with dot-leader titles and a vertical thumb index on the right edge; the serif texture of a library card cabinet; for academia, global roles, study abroad, and consulting
Use this templateA full-page keyline frame with a centered symmetric layout and flourish titles; serif stationery with certificate polish; for global, executive, consulting, and academic roles
Use this templateA classic serif header with dot-leader titles and ornamental section dividers; serif pilcrow feel; for academia, consulting, general, and global roles
Use this templateSelecting "Use this template" on any template creates a new resume with that theme preset; your existing resume is untouched.
A resume for an industry research lab or applied-ML role blends academic rigor with product impact: it should cover publications, shipped projects, and your technical stack. Two pages are acceptable for senior or heavily published candidates.
Group top-tier papers by area (CV, NLP, RL, systems) and note venue tier (CVPR, ICML, NeurIPS). Quantify industry projects by impact: serving scale, QPS, model size, and gains over baseline. Show open-source contributions: merged PRs to PyTorch, TensorFlow, or Hugging Face, and your GitHub. List your stack: PyTorch, JAX, CUDA, Triton, Megatron, DeepSpeed, and TensorRT. Highlight competition results (Kaggle, ImageNet, GLUE/SuperGLUE) with placement. Emphasize end-to-end ownership: driving a model from training to production.
Based on the role, recommended templates include Carrel, Monarch, Pilcrow, Platen, Metric. You can pick one above and start editing — no sign-up needed.
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