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Xerox Scientist II, R&D, Computer Science & Engineering in Palo Alto, California

Scientist II, R&D, Computer Science & Engineering

General information

City: Palo Alto

State/Province: California

Country: United States

Department: Research & Development

Date: Monday, June 20, 2022

Working time: Full-time

Ref#: 20015901

Job Level: Individual Contributor

Job Type: Experienced

Job Field: Research & Development

Seniority Level: Associate

Description & Requirements

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.

Apply to this role if the following is of interest to you:

A computer scientist or 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

  • creating large knowledge repositories.

Your responsibilities:

  • 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.

You must have:

  • 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

  • Information and knowledge extraction.

#PARCjob #LI-SR2

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