Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks
ServiceNow3 hours ago
Responsibilities
- Design, build, and optimize scalable machine learning infrastructure for training, evaluating, and deploying large language models.
- Build abstractions that automate steps across different machine learning workflows.
- Build and productionize infrastructure for state-of-the-art models and optimize ML system scalability, algorithms, and latency.
- Collaborate with engineering, data infrastructure, data analytics, machine learning, and product teams to develop new features.
- Drive best practices in machine learning and data engineering.
Requirements
- US citizenship or permanent resident status is required.
- 12+ years of industry experience in machine learning, infrastructure, or related fields is required.
- Experience with PyTorch, Hugging Face, or LLM-serving frameworks such as vLLM or TensorRT-LLM is required.
- Experience building and scaling end-to-end machine learning systems is required.
- Experience building scalable microservices and ETL pipelines is required.
- Expertise in Python and experience with a performant language such as C++ or Go is required.
- A bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or an equivalent field is required.
- Interest in machine learning and software engineering research publications is expected.
- Effective communication and cross-functional collaboration experience are required.
Benefits
- Regular employee position.
- Required to work in the office under the assigned work persona.
- The role is located in the AMS - North America and Canada region.
- ServiceNow offers flexible, remote, or required-in-office work personas depending on the role and location.
About ServiceNow
ServiceNow (NYSE: NOW) makes the world work better for everyone. Our cloud-based platform and solutions help digitize and unify organizations so that they can find smarter, faster, better ways to make work flow. So employees and customers can be more connected, more innovative, and more agile. And we can all create the future we imagine. The world works with ServiceNow. For more information, visit www.servicenow.com.