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python tensorflow pytorch machine learning jaxπ Description
- Design and develop generative models for biological data (molecules, proteins)
- Implement diffusion models, language diffusion models, and diffusion transformers
- Train and scale AI models on large multi-modal biological datasets across distributed GPUs
- Tackle model architecture, scaling, pre-training, fine-tuning, evaluation
- Explore transformers, diffusion models, and autoencoders to advance bio AI
π― Requirements
- Bachelor's degree in CS, CS Eng, Mathematics, Physics, or related field
- PhD with 2 years research or Bachelor's with 4+ years in DL/AI
- Strong publications in top AI venues (NeurIPS, ICML, ICLR)
- Hands-on experience building/training generative models (diffusion, GANs, VAEs, flows, autoregressive)
- Proficient in Python and at least one major DL framework (PyTorch, TensorFlow, or JAX)
π Benefits
- Ownership of day-to-day work and milestones
- Equity in a growing startup
- Comprehensive health coverage (medical, dental, vision)
- Open, constructive feedback culture
- Fun, engaging, rewarding workplace
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