Research Scientist – Reinforcement Learning
| Company | ByteDance |
|---|---|
| Location | San Jose, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- Experience in reinforcement learning or its applications to NLP, robotics, recommender systems, etc.
- Proficient in deep learning frameworks such as PyTorch and TensorFlow
- Proficient in programming languages such as Python or Java
Responsibilities
- Conduct research and develop state-of-the-art algorithms in various applications of reinforcement learning
- Collaborate with software engineers and research scientists to build enterprise-level platforms with cutting-edge RL models
- Collaborate with open-source communities or academia to advance AI development.
Preferred Qualifications
- Candidates with top-tier conference papers, including ICML, NeurIPS, ICLR, CVPR, ICRA, KDD etc.
- Relevant internship experience or winners of ACM competitions are preferred