Staff Machine Learning Engineer, Agentic AI Harness & Quality - Moveworks
ServiceNow28 days ago
Responsibilities
- Apply software engineering, machine learning, and compound AI system engineering to improve agentic AI capabilities.
- Improve agent behavior by increasing end-user utility and reducing misbehavior in customer environments.
- Develop AI harness capabilities including agent cognitive architecture, evaluation benchmarks, context engineering, generative UI, orchestration, multimodal I/O, multilinguality, memory management, reasoning, summarization, grounding, verifiability, deployment safety, and self-learning.
- Research and develop scalable solutions using current ML/LLM research, open-source repositories, and models.
- Evaluate model, prompt, and system changes through experiments and productionize successful solutions at scale.
- Partner with web and chat platform engineering teams to deliver improved user experiences.
Requirements
- Ship production-quality, fully unit-tested software and rigorously evaluate model, prompt, and other tunable system updates.
- Solve problems end-to-end using machine learning and understand evaluation fundamentals for agent trajectories, text generation, text classification, and non-uniform sampling.
- Maintain high standards for training and evaluation data quality.
- Program in Python and/or Golang in a Mac development environment.
- Understand deep learning architectures, algorithms, and leading large language models.
- Demonstrate ownership, curiosity, continuous learning, and the ability to complete challenging projects quickly.
Benefits
- Regular employee position.
- Required-in-office work persona.
- Distributed-work approach with flexible, remote, or in-office personas determined by role and location.
- Accessible and inclusive application process with reasonable accommodations available.
Categories
About ServiceNow
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