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Software Engineer, Applied AI Integration Internship

North Holland, Netherlands (On-site)

Software Engineer, Applied AI Integration Internship

2 Days ago • Upto 1 Years • Artificial Intelligence • Research & Development

About the job

12 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

cpp

pandas

unix

nosql

python

pytorch

sql

scikit-learn

linux

numpy

foundation

Job Description

This internship within Tesla's Vehicle Software organization involves working on the Service Engineering team, bridging service, development, and manufacturing. The intern will focus on improving infotainment diagnostics using AI/ML. Responsibilities include analyzing service data to identify key issues, leveraging LLMs and data analysis to categorize customer requests, and prototyping ML models to accelerate diagnosis of infotainment problems (Bluetooth, Wi-Fi, Audio, Display). The role requires working with large datasets, building and training machine learning models, and interacting with LLM APIs. The internship is a full-time, 6-month position based in Amsterdam, starting March 2025.

Must have:

Familiar with ML models (Scikit-learn, TensorFlow, PyTorch)
Data analysis skills (Pandas, NumPy, PySpark)
Experience with LLMs and API interaction
Proficient in Python, C/C++
C1 English (spoken and written)

Good to have:

Experience with SQL/NoSQL databases
Familiarity with Linux/Unix systems

What to Expect

Start date: March 2025
Location: Amsterdam
Duration: 6 months
Fulltime position (40 hours a week)

NOTE: YOU MUST BE ENROLLED IN EDUCATION DURING THE ENTIRE INTERNSHIP TO BE CONSIDERED.

Within Tesla Vehicle Software organization, the Service Engineering team serves as a link between service, development, and manufacturing teams worldwide for all vehicle sub-systems. We review and investigate field issues by analyzing logs and source code, work with relevant software engineers or component owners to implement solutions and improve our products. We also develop software tools to ensure that customer vehicles are diagnosed and repaired accurately, reliably, and as efficiently as possible.

We are seeking a talented engineering intern with a strong foundation in AI/ML to explore opportunities for improving diagnostics of infotainment issues (e.g., Bluetooth, Wi-Fi, Audio, Display) based on vehicle/service data and customer service requests.

What You’ll Do

Work with vast sources of Service-related data to infer top impacting issues
Leverage Large Language Models (LLMs) and data analysis to better understand and categorize customer service requests
Utilize fleet-wide data to prototype ML models that reduce the time needed to diagnose and root cause new infotainment issues

What You’ll Bring

Currently enrolled in programs related to Machine Learning / Computer Science
Familiar with building and training machine learning models using tools like Scikit-learn, TensorFlow, or PyTorch – and scripting workflows to interface with LLM APIs
Understanding of model evaluation metrics
Experience with data analysis and libraries like Pandas, NumPy, or PySpark and databases (SQL/NoSQL)
Familiar with Linux / Unix Systems
Familiar with Python, C/C++
Level C1 in English (spoken and written)

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