A
ML Research Engineer — Generative Models
PyTorchDistributed TrainingFine-tuningDiffusionLLMsResearch
About the role
Push the frontier of what Anvibe's products can do. You will read papers in the morning and ship a working prototype by Friday.
Fully remote, work from anywhere in the world.
Responsibilities
- Train and fine-tune generative models
- Evaluate and integrate new open-weights releases
- Build internal tooling for fast experimentation
- Collaborate with engineering on productionization
Requirements
- Strong background in deep learning research or applied ML
- Comfortable training and fine-tuning large models
- Python, PyTorch, distributed training
- Track record of shipped projects (open-source, papers, or products)
Benefits
- 100% remote, anywhere in the world
- Equity
- USD salary
- Compute and conference budget
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