Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks
ServiceNow7 days ago
Responsibilities
- Design, build, and optimize scalable ML infrastructure for training, evaluation, and deployment of large language models.
- Build abstractions that automate steps across different machine learning workflows.
- Build and productionize infrastructure supporting state-of-the-art models and hundreds of production ML and NLP models.
- Develop scalable machine services and ETL pipelines.
- Optimize the scalability of services, core algorithms, and LLM latency.
- Collaborate with engineering, data infrastructure, data analytics, machine learning, and product teams.
- Drive best practices in machine learning and data engineering.
Requirements
- 10+ years of industry experience in machine learning, infrastructure, or related fields.
- Experience with deep learning frameworks such as PyTorch or Hugging Face, or LLM serving frameworks such as vLLM or TensorRT-LLM.
- Experience building and scaling end-to-end machine learning systems.
- Experience building scalable microservices and ETL pipelines.
- Expertise in Python and experience with a performant language such as C++ or Go.
- Bachelor's degree in computer science, computer engineering, mathematics, or an equivalent field.
- Interest in machine learning and software engineering research publications.
- Effective communication and cross-functional collaboration experience.
Benefits
- Regular employee position.
- Required to work in the office under the stated work persona.
- The role is based in the AMS - North America and Canada region.
- Flexible work personas may be available depending on employee work location and role eligibility.
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.