Intelligence Personal Assistant Intern
Support the development and testing of BMW’s Large Language Model-based voice assistant as an intern.
Your Role:
Key responsibilities include:
• Supporting development and testing of the Large Language Model (LLM) based voice assistant for BMW’s Intelligent Personal Assistant.
• Collaborating with engineering teams to develop and integrate new voice-enabled features and use cases.
• Running a self-motivated, proactive Proof of Concept development.
• Working with third-party content providers to expand and enrich the capabilities of BMW’s Intelligent Personal Assistant.
• Helping organize collaboration and testing events with existing and new partners.
About You:
The ideal candidate will have the following qualifications:
• Currently enrolled in a bachelor’s or master’s degree program at an accredited college or university.
• Minimum cumulative GPA of 3.0 (not just in major).
• Completion of at least 60 college credits or status as a rising Junior.
• Field of study: Engineering, Computer Science, or related fields.
• Must attach a copy of college unofficial transcript.
• Ability to work full-time (36.25 hours/week).
• Prior BMW Group experience (applicable to international J1 students only).
• Proficiency in programming languages relevant to Android development (e.g., Kotlin or a similar language).
• Excellent communication, presentation, and organizational skills.
• Strong analytical capabilities, passion for software development and digital products.
• Ability to work collaboratively in a team and create an inclusive environment.
• Experience in using or developing machine learning applications (e.g., Python, PyTorch/TensorFlow, LangChain, LangFlow).
• Proficiency in English.
Compensation & Benefits:
• Hourly rate for undergraduate students: $32.50.
• Hourly rate for graduate students: $40.00.
• Medical insurance.
• Paid time off in addition to company-paid holidays where eligible.
• Hybrid work environment.
• Intern Vehicle Lease Program.
• Compensation determined by academic level in accordance with state and local pay disclosure requirements.
Training & Development:
Opportunities to collaborate with engineering teams, work with third-party content providers, and run independent Proof of Concept developments. Exposure to advanced voice assistant technologies and machine learning applications.
Career Progression:
Experience in this internship may lead to future opportunities within BMW Group, particularly in software development, engineering, or digital product teams, and provides valuable industry experience in automotive technology and AI.
How to Apply:
Applicants must submit a copy of their unofficial college transcript as part of the application process.
This job may close before the stated closing date, you are encouraged to apply as soon as possible
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