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Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks
Mountain View, CALIFORNIA, United States · Senior Staff · Full-time · Posted Sep 3, 2026
- Experience
- 12+ years of industry experience in Machine Learning, Infrastructure or related fields.
- Education
- Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
- Visa sponsorship
- US Citizenship or permanent resident status.
About the job
Build and scale machine-learning infrastructure for training, evaluating, deploying, and serving large language models and other production ML systems.
What you'll do
- Design, build, and optimize infrastructure for LLM training, evaluation, and deployment.
- Create abstractions that automate ML workflows and help scale end-to-end ML systems.
- Collaborate across engineering, data, ML, analytics, and product teams; promote ML and data engineering best practices.
What they ask for
- 12+ years of industry experience in Machine Learning, Infrastructure or related fields.
- Experience with deep learning frameworks such as PyTorch or Huggingface, or LLM serving frameworks such as vLLM or TensorRT-LLM; experience building and scaling end-to-end ML systems.
- Experience building scalable micro services and ETL pipelines; expertise in Python and experience with C++ or GoLang.
- US Citizenship or permanent resident status.
Nice to have
- A love of research publications in the machine learning and software engineering communities.
- Effective communicator with experience collaborating cross-functionally with other teams.
Tools
Pytorch, Huggingface, vLLM, TensorRT-LLM, Python, C++, GoLang
AI focus
Build infrastructure for LLM training, serving, evaluation, and monitoring, including latency optimization and productionization of state-of-the-art models.
Model-written summary · the original posting is authoritative