Senior Machine Learning Engineer, Agentic Systems - Moveworks
Core
Building and optimizing scalable ML infrastructure for training, evaluation, and deployment of large language models (LLMs) to serve hundreds of millions of enterprise employees.
Role type
Senior Machine Learning Engineer (ML Infrastructure)
Builds
Distributed training and inference pipelines, model evaluation/monitoring frameworks, and LLM latency optimization systems.
Domain
Enterprise AI / Large Language Models / Cloud Infrastructure
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch, HuggingFace), LLM serving frameworks (vLLM, TensorRT-LLM), scalable microservices, ETL pipelines, Python, C++ or GoLang
Preferred skills
Research publications in ML and software engineering
Technologies
PyTorch, HuggingFace, vLLM, TensorRT-LLM, Python, C++, GoLang
Responsibilities
Design and build scalable ML infrastructure for LLM training and deployment; Build abstractions to automate ML workflows; Collaborate with cross-functional teams to implement new features; Drive best practices in ML and data engineering.
Seniority
Senior, hands-on IC
