Senior ML Engineer: Conversational AI & LLM Systems

ServiceNow

Mountain View (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

ServiceNow is based in Mountain View, CA and seeks an experienced software engineer with machine learning expertise to broaden Moveworks NLU and agentic AI capabilities, delivering refined user experiences and advancing the AI platform across products.

Responsibilities include applying ML/system engineering to create value, tackling conversational agent challenges, ensuring responsible AI, and productionizing ML solutions at scale.

Qualifications

  • Solid foundation in deploying production-grade ML models
  • Ability to solve problems end-to-end using machine learning
  • Strong understanding of model evaluation for text generation and classification
  • Attention to data quality and careful construction of training/evaluation datasets

Responsibilities

  • Apply software engineering, ML, and AI system engineering to create lasting value for customers.
  • Tackle challenging tasks in conversational agent domains, including architecture iteration and multimodal agents.
  • Advance responsible AI by expanding infrastructure for model performance, red-teaming for safety, and data privacy.
  • Design new algorithms and architectures, validate with small-scale experiments, and productionize at scale.
  • Research and develop innovative, scalable ML solutions for difficult problems.
  • Leverage advances in ML/LLMs to enhance products and user experiences.
  • Review latest ML research and open-source code weekly.

Skills

Python
Golang
Machine learning
Deep learning
LLMs

Job description

ServiceNow is based in Mountain View, CA and seeks an experienced software engineer with machine learning expertise to broaden Moveworks NLU and agentic AI capabilities, delivering refined user experiences and advancing the AI platform across products.

Responsibilities include applying ML/system engineering to create value, tackling conversational agent challenges, ensuring responsible AI, and productionizing ML solutions at scale.

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