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Xerox Research Engineer in Palo Alto, California

Research Engineer

General information

City: Palo Alto

State/Province: California

Country: United States

Department: Research & Development

Date: Monday, June 27, 2022

Working time: Full-time

Ref#: 20015137

Job Level: Individual Contributor

Job Type: Experienced

Job Field: Research & Development

Seniority Level: Associate

Description & Requirements

PARC, a Xerox company , is in the Business of Breakthroughs®. Practicing open innovation, we provide custom R&D services, technology, expertise, best practices, and intellectual property to Fortune 500 and Global 1000 companies, startups, and government agencies and partners. We create new business options, accelerate time to market, augment internal capabilities, and reduce risk for our clients. Since its inception, PARC has pioneered many technology platforms – from the Ethernet and laser printing to the GUI and ubiquitous computing – and has enabled the creation of many industries. Incorporated as an independent, wholly owned subsidiary of Xerox in 2002, PARC today continues the research that enables breakthroughs for our clients' businesses.

PARC’s Intelligent Systems Lab (ISL) is searching for a research engineer with a background in building and maintaining research and prototyping AI systems involving several of information extraction, natural language processing, dialog, machine learning, knowledge representation and reasoning, and knowledge graphs. The candidate should be able to set up and deploy AI systems under loose guidance from research staff, including running machine learning experiments and creating large knowledge repositories.


  • Build and maintain AI systems under the guidance of senior research staff

  • Design and perform directed experiments in machine learning, knowledge representation and reasoning, and other AI areas

  • Run human factors experiments under the guidance of human-computer interaction experts

  • Document systems and experiments in reports and papers


  • MSc or PhD in computer science, or equivalent experience

  • Experience in building, maintaining, and documenting AI systems

  • Experience in designing and running machine learning experiments

  • Experience in reading scientific papers and replicating methods

  • Familiarity with modern AI software tools, languages, and practices, such as PyTorch, BERT, tf-idf, OWL, and Jena

  • A willingness to learn new expertise as needed for domain specific applications