Senior Machine Learning Engineer, Agentic Systems - Moveworks

About the role

The Role We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. This role will be critical in building, optimizing and scaling end-to-end machine learning systems.

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.

Qualifications

• 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.
• 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.

Additional Information

• Base Salary Range $161,300-274,200
• Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

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