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Senior Applied Research Scientist
Posted on 2/6/2023
Montreal, QC, Canada • California, USA
Experience Level
Desired Skills
Data Structures & Algorithms
Natural Language Processing (NLP)
  • 5 years of experience with classical machine learning algorithms, with an understanding or significant interest in the underlying theory of machine learning or related AI field
  • Experience with topics such as data preparation & cleaning, feature engineering, various classical machine learning techniques for classification and NLP
  • Hands on experience coding with Python or other stablished scripting languages for machine learning
  • Compelling storyteller who can communicate accurately
  • Understanding of the challenges of running a model on the varied and often noisy data that arises in a real-world setting
  • Experience with AI models/products life cycle and their different status
  • Getting things done attitude
  • Enthusiastic about staying up to date with AI literature and state of the art techniques of your field
  • 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
  • Research and propose appropriate models/techniques, as well as implement and train the models yourself, leveraging when appropriate classical machine learning methods as well as deep learning
  • Contribute to the design, implementation, and scaling of Document Intelligence as a key AI-first product in ServiceNow's portfolio
  • Collaborate daily with a team of like-minded developers, applied research scientists, product managers and quality engineers to produce quality software
  • Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality & high-impact solutions to our users

10,001+ employees

Cloud-based enterprise operation solutions
Company Overview
ServiceNow’s mission is to transform IT to revolutionize the enterprise by placing a service-oriented lens on the activities, tasks, and processes that make up day-to-day work life. The company is committed to helping modern enterprises operate faster and become more scalable through their platform that optimizes processes, makes work more intuitive, and discovers insights that create new value.
  • Generous family leave
  • Flexible PTO
  • Matched Donations
  • Retirement benefits
  • Annual learning stipends
  • Paid volunteer time
Company Core Values
  • Wow our customers
  • Win as a team
  • Create belonging
  • Stay hungry and humble