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Software Engineer
Machine Learning, ATG
Confirmed live in the last 24 hours
Santa Clara, CA, USA
Experience Level
Desired Skills
Data Science
Data Structures & Algorithms
  • Build the best cloud-based AI/ML solutions to power intelligent enterprise services
  • Bring the power of modern deep learning to life figuring out how to ship DL in full solutions by making it scalable and extensible
  • 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 solutions to our users
  • A Bachelor's degree and 2+ years of related experience; or an advanced degree without experience; or equivalent work experience
  • Good programming skills building reusable, scalable, extensible and testable software
  • Expertise in Python, OOP, Design Patterns, time and space-efficient algorithms
  • Experience writing and shipping production quality code for deploying machine learning pipelines
  • Desire to take your coding skills to the next level by receiving and giving feedback on your team's pull requests (LGTM by itself does not cut it)
  • Experience building new products that leverage challenging high-performance algorithms
  • Expertise in coding efficient, object-oriented, modularized and quality software
  • Knowledge of core AI/ML techniques and algorithms
  • Knowledge of unit testing, profiling, and code optimization
Desired Qualifications
  • Experience and knowledge of Java is a plus
  • Knowledge of deep learning frameworks (PyTorch, Tensorflow) and Python's data science ecosystem (jupyter, pandas, numpy, etc)
  • Experience with modern open-source deep learning packages such as HuggingFace transformers and datasets

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