AI & ML Engineering Internship — Summer 2027

Rivian

Palo Alto (CA)

On-site

USD 45,000 - 70,000

Full time

11 days ago

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Job summary

Rivian invites student candidates to join its Summer 2027 Internship Program in Palo Alto, with opportunities across Autonomy, Data Science & Analytics, Autonomous Driving, ML/AI Engineering, Perception Engineering, Data Engineering and Infrastructure. Eligible candidates are undergraduates or graduates with expected graduation between Fall 2027 and Spring 2029.

This bucket application may be considered for Rivian’s 2027 internship programs; if selected, you’ll receive details on role-specific

Qualifications

  • Must be currently pursuing a bachelor’s, master’s, or PhD degree.
  • Active enrollment in Electrical, Computer Science, Robotics, AI, ML or related field.
  • Experience with Python, SQL, C++, MATLAB, Java or Kotlin.
  • Strong problem-solving and data troubleshooting skills.
  • Experience with AI frameworks and ML research is preferred.
  • Knowledge of ML algorithms and frameworks such as TensorFlow, PyTorch, Databricks MLflow.

Responsibilities

  • Applying to this opening will place you into consideration of Rivian’s 2025 Internship programs.
  • Teams your application can be considered for include: Autonomy, Data Science & Analytics; Autonomous Driving; Machine Learning/AI Engineering; Perception Engineering; Data Engineering; Infrastructure.

Skills

Python
SQL
C++
MATLAB
Java
Kotlin

Education

Bachelor's/Master's/PhD candidate
Active enrollment in Electrical, CS, Robotics, AI or ML

Job description

Rivian invites student candidates to join its Summer 2027 Internship Program in Palo Alto, with opportunities across Autonomy, Data Science & Analytics, Autonomous Driving, ML/AI Engineering, Perception Engineering, Data Engineering and Infrastructure. Eligible candidates are undergraduates or graduates with expected graduation between Fall 2027 and Spring 2029.

This bucket application may be considered for Rivian’s 2027 internship programs; if selected, you’ll receive details on role-specific

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