Machine Learning Engineer

Summary

I'm a Ph.D. candidate expecting to graduate in March, 2023. My research focuses on tackling the network communication bottleneck of distributed deep learning training workloads. I have hands-on experience in large-scale distributed training using PyTorch/Horovod, and my research works have been published in top-tier conferences such as SIGCOMM, NSDI, and AAAI.

Expectations

I enjoy benchmarking, identifying bottlenecks of Machine Learning systems and making performance improvements. I'm excited to learn and gain insights into how faster model training can help create breakthroughs in artificial intelligence. I expect to solve real-world problems and make a significant impact.

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• C++
• Python
• CUDA
• PyTorch
• Horovod
• OMNet++