强化学习系统工程师
Tasks
- Apply NLP and CV algorithms
- Build reinforcement learning systems
- Deploy machine learning services on Kubernetes
- Design and maintain distributed systems
- Develop GPU accelerated training workflows
- Develop and maintain RL training frameworks
- Develop distributed training pipelines
- Implement containerized ML workloads with Docker
- Integrate Ray for distributed execution
Perks/Benefits
- N/A
Skills/Tech-stack
AI infrastructure | Algorithms | Apache Spark | CUDA | Computer Vision | Containerd | Data Structures | Distributed Systems | Docker | Flink | GPU | Go | Hardware Architecture | High Performance | High-Performance Computing | High-performance networking | Java | Kubernetes | Language Models | Large Language Models | Linux | Machine Learning | Machine Learning Hardware Architecture | Machine learning hardware | NLP | Open Source | OpenRLHF | Performance Computing | PyTorch | Python | RDMA | RL algorithms | Ray | Rllib | Spark | TensorFlow | VeRL
Education
N/A
Regions
Countries
States
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