Research Scientist, Deep Learning L001 at ByteDance

Mountain View
2 months ago


Intelligent Creations focuses on conducting cutting-edge research and development in the area of Computer Graphics, Computer Vision, Augmented Reality and Deep Learning, and continuously transfer innovative technologies to various ByteDance products including Tiktok. We are looking for talents at all levels to join us on this exciting journey!

What You'll Do:

•Conduct cutting-edge research and development in automatically or manually design neural architectures, do hyperparameter tuning, and model compression/optimization.

•Apply automated machine learning algorithms to improve existing machine models in different systems including but not limited to computer vision tasks on mobile phones and GPU servers.


•Advanced research experience on neural networks architecture, neural architecture search, hyperparameter tuning, model compressions, model quantization, Bayesian optimization or reinforcement learning (preferring candidates with publications in top-tier venues such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, JMLR).

•Master or PhD in computer science, electrical engineering or related fields.

•Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow, MXNet, Caffe/Caffe2, PaddlePaddle).

•Familiar with deep neural network architectures such as CNN/RNN/LSTM etc.

•Strong analytical and problem solving skills.

•Ability to work collaboratively in multi-functional teams.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We believe individuals shouldn't be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to us at

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