Machine Learning / Deep Learning
Budget: $10 – $30 USD
We are looking for someone with:
1. Deep Learning Expertise: Strong proficiency in PyTorch/TensorFlow and experience with large-scale GPU training and benchmarking.
2. A background in video action recognition, video synthesis (e.g., GANs like StyleGAN/VideoGAN, diffusion models), and video transformers.
3. Hands-on experience with self-supervised learning, contrastive learning, sequence models (Transformers, TCNs, HMMs), and weakly-supervised techniques.
5. Experience with cross-lingual models (mBERT, XLM-R), video-to-text alignment, and working with multilingual datasets is a significant plus.
1. Deep Learning Expertise: Strong proficiency in PyTorch/TensorFlow and experience with large-scale GPU training and benchmarking.
2. A background in video action recognition, video synthesis (e.g., GANs like StyleGAN/VideoGAN, diffusion models), and video transformers.
3. Hands-on experience with self-supervised learning, contrastive learning, sequence models (Transformers, TCNs, HMMs), and weakly-supervised techniques.
5. Experience with cross-lingual models (mBERT, XLM-R), video-to-text alignment, and working with multilingual datasets is a significant plus.