Technologies: PyTorch, TorchAO, Torch Inductor and Dynamo, CUDA C++, NCCL, TorchTitan, Docker, Python, SLURM, Distributed training with Data, Tensor, Sequence, Pipeline, Expert, and Context Parallelism, Mixed Precision Training and Quantization, ML Compilers and Inference Optimization
I'm looking for a research engineer, inference optimization engineer, distributed pre-training engineer, or machine learning engineer role.
I have a master's in computer science from Brown University with a focus on ML Systems, and 2 years of work experience at JP Morgan Chase, building a low-latency distributed trading analytics engine.
I'm looking for research engineer or machine learning engineer roles. I have a master's in computer science from Brown University with a focus on ML Systems, Self-Supervised Learning, and Computational Linguistics. I also have 2 years of work experience at JP Morgan Chase, working on a low-latency distributed trading analytics engine.
Hi! I have 2 YoE working in low-latency distributed systems for trading data analytics, and a master's focused on ML systems. I'm looking for ML systems-related jobs where I can work on parallelism and model optimization techniques.
Remote: Open to in-person, remote, or hybrid
Willing to relocate: Yes
Technologies: PyTorch, CUDA, NCCL, Triton, vLLM, SGLang
Resume: https://vipulsharma18.github.io/assets/files/resume.pdf
Email: vipuls181999[at]gmail[dot]com
An early-career ML engineer with 2 years of SDE experience at JPMorgan Chase and a master's degree in CS from Brown University.