Staff Machine Learning Engineer

ServiceNow•Santa Clara, CA
•$176,100 - $308,200

About The Position

The Staff Machine Learning Engineer will drive quality and development excellence across the software development lifecycle, from design and coding through test automation and deployment. The role involves building high-quality product features and ensuring their reliability, scalability, and performance. As part of ServiceNow’s AI Search UX team, the engineer will help develop next-generation technologies for the ServiceNow cloud platform, including cognitive, actionable search and machine-learning-based relevancy. The role contributes to AI and ML solutions intended to improve enterprise-service user experiences and workflow efficiency, making these solutions usable by people regardless of their technical knowledge. The team is developing solutions for early-adopter customers and a global enterprise customer base.

Requirements

  • Expertise in Java or Python, object-oriented programming, design patterns, and time- and space-efficient algorithms.
  • Experience building new products that use challenging, high-performance algorithms.
  • Expertise in writing efficient, object-oriented, modularized, high-quality software.
  • Knowledge of core AI/ML techniques and algorithms.
  • Knowledge of unit testing, profiling, and code tuning.

Responsibilities

  • Build cloud-based AI/ML solutions for intelligent enterprise services.
  • Collaborate with developers, product managers, and quality engineers to produce quality software.
  • Work with product owners to understand detailed requirements.
  • Own code from design and implementation through testing and delivery.
  • Build product features and help ensure their reliability, scalability, and performance.
  • Drive quality and development excellence across the software development lifecycle, including test automation and deployment.

Benefits

  • Health plans
  • Flexible spending accounts
  • 401(k) plan with company match
  • Employee stock purchase plan (ESPP)
  • Matching donations
  • Flexible time away plan
  • Family leave programs
  • Equity, when applicable
  • Variable/incentive compensation
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