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Software Engineer, Applied AI Integration Internship

North Holland, Netherlands (On-site)

Software Engineer, Applied AI Integration Internship

1 Hour 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

Tesla's Service Engineering team seeks a talented Software Engineering intern to leverage AI/ML for improving infotainment diagnostics. The internship involves working with large datasets to identify key issues, utilize LLMs and data analysis to categorize customer requests, and build ML models to reduce infotainment diagnostic time. Responsibilities include data analysis using Pandas, NumPy, or PySpark; building and training ML models with Scikit-learn, TensorFlow, or PyTorch; and interfacing with LLM APIs. The internship is a full-time, 6-month position in Amsterdam starting March 2025. Successful candidates will possess strong AI/ML foundations and familiarity with relevant tools and languages.

Must have:

Familiar with ML model building (Scikit-learn, TensorFlow, PyTorch)
Experience with data analysis (Pandas, NumPy, PySpark)
LLM API interaction experience
Proficient in Python, C/C++
C1 English level

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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