onsite
Intern - AI Based Memory & Context Engineering - BMW AG
Software Engineer
Internship focused on developing AI‑driven memory and context solutions, leveraging machine learning, NLP, and deep learning frameworks to enhance contextual understanding and retrieval in automotive applications.
About the role
Key Responsibilities
- Assist in designing and implementing memory‑augmented neural architectures for contextual data handling.
- Develop and train NLP models using TensorFlow and PyTorch to improve context inference.
- Collaborate with cross‑functional teams to integrate AI components into automotive software stacks.
- Conduct experiments, analyze results, and iterate on model performance.
- Document methodologies, code, and findings for internal knowledge sharing.
Requirements
- Enrolled in a computer science, AI, or related degree program.
- Strong programming skills in Python and familiarity with TensorFlow or PyTorch.
- Basic understanding of NLP techniques and memory‑augmented models.
- Excellent analytical and problem‑solving abilities.
- Effective communication skills and a collaborative mindset.
Skills
machine learningnatural language processingpythontensorflowpytorch