Staff Research Engineer/scientist

ServiceNow

Santa Clara, United States
Base: $199,100 - $348,500; bonus/equity: equity (w...
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Prompt engineering
Training and fine tuning llms
Python, oop, design patterns
** ServiceNow is seeking a Staff Research Engineer/Scientist in Santa Clara to contribute to the development of Large Language Models (LLMs) for their platform. The ideal candidate will have significant expertise in AI/ML, particularly in prompt engineering and model training, and will thrive in a collaborative environment. **

Job Summary

  • The CoreLLM team at ServiceNow leads groundbreaking research, engineering, building ServiceNow's signature models (NOWLLM).
  • You will play a major part in building next generation Large Language Models(LLM's) for Enterprise Language Generation that will power NOW platform with AI experiences in day to day work of our customers.
  • Confronted with real-world challenges and datasets, you will need to use your AI/ML expertise and creativity to apply existing methods and develop new ones to solve these problems in a practical and scalable way.

Matching Summary

Match Score: 75

** ServiceNow is seeking a Staff Research Engineer/Scientist in Santa Clara to contribute to the development of Large Language Models (LLMs) for their platform. The ideal candidate will have significant expertise in AI/ML, particularly in prompt engineering and model training, and will thrive in a collaborative environment. **

Salary

Base: $199,100 - $348,500; Bonus/Equity: equity (when applicable), variable/incentive compensation; Benefits: health plans, 401(k) Plan with company match, ESPP, matching donations, flexible time away plan, family leave programs

Skills & Requirements

Must-have

  • prompt engineering
  • training and fine tuning LLMs
  • Python, OOP, Design Patterns
  • transformer architectures
  • read latest papers and experiment

Nice-to-have

  • AI productivity tools
  • integrating AI into work processes
  • Pretraining of an LLM
  • Reinforcement learning

Key Requirements

  • 6+ years of relevant experience with a Bachelor's degree; or 4 years with a Master's degree; or a PhD with no experience
  • Instruction fine tuning and other fine-tuning techniques is a must
  • Good publication record in top tier conferences

Work Rights

Not specified

Tailored Resume

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