Stanford University

Stanford University

Machine Learning Engineer (1 Year Fixed Term, 2 Openings)

Stanford, California, USA · full-time

Sponsorship not specified$80k-$100kDetected 80 days ago
AlgorithmsMachine LearningData AnalysisStatisticsResearchCommunicationOrganizational SkillsMicrosoft Office

About the role

  • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
  • Analyze data processes in documentation.

Requirements

  • Experience in a quantitative discipline such as economics, finance, statistics or engineering.
  • KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Substantial experience with MS Office and analytical programs.
  • Ability to prioritize workload.

Skills

  • Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Working closely with Dr.
  • Duties include:
  • Collect, manage and clean datasets.
  • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.

Compensation

  • The expected pay range for this position is $80,148 to $99,773.
  • Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire.

Company info

  • Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,;br> * - Stanford is an equal employment opportunity and affirmative action employer.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
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This listing is sourced directly from Stanford University's careers page and normalized into a canonical job model.