Senior Machine Learning Engineer, Agentic Systems - Moveworks

ServiceNow•Mountain View, CA

2d•$161,300 - $274,200•Onsite

About The Position

Moveworks is seeking a Senior Machine Learning Engineer to join their Agentic Systems team. This role is critical in building, optimizing, and scaling end-to-end machine learning systems, particularly focusing on distributed training and inference pipelines for large language models (LLMs), model evaluation and monitoring frameworks, and LLM latency optimization. The ML infra team's work provides a strong foundation for hundreds of ML and NLP models serving millions of enterprise employees. The engineer will collaborate with machine learning, data infrastructure, and other core teams to impact customer experience with AI and ensure the long-term scalability of the core AI product. This is a high-impact, fast-moving role for someone looking to advance their work in productionizing state-of-the-art models.

Requirements

5+ years of industry experience in Machine Learning, Infrastructure or related fields
Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
Experience with building and scaling end-to-end machine learning systems
Experience building scalable micro services and ETL pipelines
Expertise in Python and experience with performant language such as C++ or GoLang
Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
A love of research publications in the machine learning and software engineering communities
Effective communicator with experience collaborating cross-functionally with other teams

Responsibilities

Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
Build abstractions to automate various steps in different ML workflows.
Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features.
Leverage your experience to drive best practices in ML and data engineering.