AI & Data Intern: ML, Python & Analytics (Summer 2027)

Rivian

Plymouth Charter Township (MI)

On-site

USD 34,000 - 55,000

Part time

5 days ago
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Job summary

Rivian invites student candidates for its Summer 2027 internship program. This bucket application covers multiple potential roles across Autonomy, Data Science & Analytics, Autonomous Driving, Machine Learning/AI Engineering, Perception Engineering, Data Engineering and Infrastructure.

Eligible applicants are undergrad/grad students with an expected graduation date between Fall 2027 and Spring 2029 and active enrollment. Rivian emphasizes equal opportunity and accessible recruiting processes.

Qualifications

  • Currently pursuing a bachelor’s, master’s, or PhD degree
  • Active student enrollment during internship term
  • Majors in Electrical, Computer Science, Robotics, AI, ML or related fields
  • Strong problem-solving and data troubleshooting skills
  • Experience with AI frameworks preferred
  • ML research or project work desirable
  • Familiarity with ML algorithms and frameworks like Databricks MLflow, TensorFlow or PyTorch

Responsibilities

  • Apply to Rivian's 2025 Internship programs; be placed into consideration for roles across teams.
  • Teams you may be considered for include: Autonomy, Data Science & Analytics, Autonomous Driving, ML/AI Engineering, Perception, Data Engineering, Infrastructure

Skills

Python
SQL
C++
MATLAB
Java
Kotlin

Education

Pursuing a bachelor’s, master’s, or PhD degree

Tools

Databricks MLflow
TensorFlow
PyTorch

Job description

Rivian invites student candidates for its Summer 2027 internship program. This bucket application covers multiple potential roles across Autonomy, Data Science & Analytics, Autonomous Driving, Machine Learning/AI Engineering, Perception Engineering, Data Engineering and Infrastructure.

Eligible applicants are undergrad/grad students with an expected graduation date between Fall 2027 and Spring 2029 and active enrollment. Rivian emphasizes equal opportunity and accessible recruiting processes.

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