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Senior Machine Learning Engineer

ServiceNow Mountain View, CA

Mountain View, CA

Today

Full time Abstractive Summarization Ai Ml Artificial Intelligence

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Job Description

In Mountain View, California, this onsite role at ServiceNow invites a Senior Machine Learning Engineer to help expand Moveworks NLU and agentic AI capabilities within the platform. The position focuses on delivering end-to-end, production-grade ML systems for conversational AI, driving real value for customers through robust engineering and scalable ML pipelines.

Responsibilities

Leverage software engineering, machine learning, and AI-system engineering to deliver durable value for customers
Tackle challenging areas in conversational agents, including cognitive architecture iteration, multimodal and multilingual agents, conversational memory management, and advanced reasoning strategies such as Tree of Thoughts and Graph of Thoughts; fine-tune LLMs for tool use and enterprise reasoning with alignment approaches like RLHF/RLAIF/DPO; conduct agent evaluation; apply active learning for few-shot text classification; pursue abstractive summarization; and address grounding & verifi
Advance Moveworks commitments to responsible AI by expanding infrastructure to ensure accessible performance for all users, red-team models for safety and reliability, and maintaining ML practices around data privacy and security
Apply knowledge of ML fundamentals and LLMs to design new algorithms and architectures, validate them with small-scale experiments, and productionize solutions at scale
Research and develop innovative, scalable, and dynamic approaches to hard problems
Utilize the latest ML and LLM advances to enhance products and deliver strong user experiences
Dedicate time weekly to reading, discussing, and potentially building models from recent ML research and open-source code

Requirements

Demonstrated drive to ship product improvements with production-quality, fully unit-tested code and rigorously evaluated updates to models, prompts, or other tunable system components
Ability to solve problems end-to-end with machine learning
Solid grasp of model evaluation fundamentals, particularly for text generation, text classification, and non-uniform sampling regimes
Attention to detail and high standards of data quality for training and evaluation datasets
readiness to operate in a Mac development environment, programming in Python and/or Golang
Knowledge of deep learning architectures and algorithms, and experience with leading large language models
Preference for startup-like tempo within a medium-sized company, with a strong sense of ownership
Commitment to shipping production-grade code
High appetite for continuous incremental wins and the ability to complete challenging projects quickly
Curiosity about engineering beyond immediate discipline and a continual desire to stay at the cutting edge of NLU and AI

Technologies

Python
Golang
LLMs
multimodal foundation models
hybrid vector databases
vector databases

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