Senior Machine Learning Engineer Ii, Nlu & Agentic Ai

Moveworks

Mountain View, CA, United States
On-site
Compound ai system engineering
Llm fine-tuning for tool use
Conversational agent domains
Moveworks is seeking a Senior Machine Learning Engineer with expertise in natural language understanding (NLU) and agentic AI to enhance their conversational AI capabilities. The ideal candidate will work on developing cutting-edge AI systems, focusing on model performance, evaluation, and responsible AI practices

Job Summary

  • We are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks NLU (natural language understanding) and agentic AI capabilities.
  • You will also go beyond model training to achieve state-of-the-art AI performance in production, in every meaning of the word “performance”: not just accuracy and quality of outputs, but also latency, reliability, and capability of the end-to-end user-facing system as a whole.
  • Your work will impact our team’s core objectives to understand every enterprise issue and build the most reliable copilot the world has ever seen, in deep collaboration with other functions within Moveworks.

Matching Summary

Match Score: 85

Moveworks is seeking a Senior Machine Learning Engineer with expertise in natural language understanding (NLU) and agentic AI to enhance their conversational AI capabilities. The ideal candidate will work on developing cutting-edge AI systems, focusing on model performance, evaluation, and responsible AI practices.

Skills & Requirements

Must-have

  • compound AI system engineering
  • LLM fine-tuning for tool use
  • conversational agent domains
  • productionizing ML models at scale
  • Python and/or Golang
  • deep learning architectures and algorithms

Nice-to-have

  • AI fairness, privacy, safety
  • PyTorch and LightGBM
  • HuggingFace Transformers, PEFT, SpaCy 3
  • iterating on prompts for LLMs

Key Requirements

  • production-quality, fully unit-tested code
  • rigorously-evaluated updates
  • solve problems end-to-end with machine learning
  • model evaluation fundamentals
  • attention to detail and high standard of data quality
  • Mac development environment

Work Rights

Not specified

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