PhD Research Science Intern: ML, Data & Innovation

Amazon

Boston (MA)

On-site

USD 111,000 - 149,000

Full time

3 days ago
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Job summary

Amazon is seeking a Research Science Intern to apply advanced statistical techniques and ML methods to solve real-world problems. You will work with cross-functional teams, developing prototypes and analyzing massive datasets to influence products, services, and operations.

The role emphasizes experimentation, modeling, and communication of results, with access to cutting-edge infrastructure and mentorship.

Qualifications

  • PhD in computer science, machine learning, engineering, or related fields.
  • Must be able to relocate to internship base.
  • Available for full-time (40 hours/week) internship for the whole duration.
  • Demonstrated depth in a specific research area through publications, thesis work, or equivalent contributions.

Responsibilities

  • Conduct research activities including data collection, analysis, and interpretation under the guidance of senior researchers.
  • Develop and test hypotheses using appropriate scientific methodologies and computational tools.
  • Document findings, maintain detailed research records, and prepare reports summarizing results and insights.
  • Collaborate with team members to troubleshoot challenges and refine experimental approaches.
  • Participate in team meetings and present progress updates on assigned research projects.

Skills

Machine learning knowledge
Data analysis
Creative problem solving

Education

PhD in computer science / ML / engineering / related fields

Tools

Statistical analysis software
Data visualization tools

Job description

Amazon is seeking a Research Science Intern to apply advanced statistical techniques and ML methods to solve real-world problems. You will work with cross-functional teams, developing prototypes and analyzing massive datasets to influence products, services, and operations.

The role emphasizes experimentation, modeling, and communication of results, with access to cutting-edge infrastructure and mentorship.

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