- Company Name
- Rivian
- Job Title
- Artificial Intelligence, Machine Learning & Data Science - Summer 2026 Internships
- Job Description
-
**Job Title**: AI / Machine Learning & Data Science Intern – Summer 2026
**Role Summary**
A short‑term internship (June‑August 2026) focused on leveraging AI, ML, and data analytics in automotive and autonomous technology. Interns work with cross‑functional teams such as Autonomy, Machine Learning Engineering, Perception Engineering, and Data Engineering to develop and test algorithms, data pipelines, and model deployment workflows.
**Expectations**
- Undergrad, master’s, or Ph.D. student in Electrical Engineering, Computer Science, Robotics, AI, ML, or related field.
- Expected graduation between Dec 2026 and June 2028.
- Actively enrolled and capable of full-time availability during internship period.
- Demonstrated proficiency in at least one of Python, SQL, C++, MATLAB, Java, or Kotlin.
- Familiarity with ML frameworks (TensorFlow, PyTorch) and data‑science tools (Databricks MLflow, Spark).
**Key Responsibilities**
- Design, implement, and evaluate machine‑learning models for perception, autonomy, or data‑engineering projects.
- Build and maintain data pipelines for training data ingestion, preprocessing, labeling, and validation.
- Troubleshoot data‑quality issues and optimize model performance.
- Collaborate with senior engineers to deploy models in simulation or production environments.
- Contribute to research‑grade projects, including literature reviews, experiment design, and reporting.
**Required Skills**
- Programming: Python, SQL, C++, MATLAB, Java, or Kotlin.
- Machine‑learning: Supervised, unsupervised, and reinforcement‑learning algorithms; experience with TensorFlow, PyTorch, or similar.
- Data‑engineering: Scalable data processing (Apache Spark, Hadoop), version control (Git), and CI/CD practices.
- Problem‑solving: Strong analytical and debugging capabilities, especially for data‑related challenges.
- Communication: Ability to present findings in written reports and verbal discussions.
**Required Education & Certifications**
- Enrollment in an accredited bachelor’s, master’s, or Ph.D. program in Electrical Engineering, Computer Science, Robotics, AI, Machine Learning, or a closely related discipline.
- No specific certifications required; knowledge of industry standards (e.g., TensorFlow certification) is a plus.