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Machine Learning Intern

The Mercedes-Benz AI Experiences team is seeking a Machine Learning Engineering Intern to join our ML Product Development Team for the Summer of 2025. You will work with our Mercedes-Benz Research & Development North America (MBRDNA) team based in Silicon Valley. The team focuses on applying cutting-edge Machine Learning technology in products that will shape the future of Mercedes-Benz vehicles with the goal of enhancing our customer’s experience.


In this position, you will work independently and collaboratively with our expert teams to translate state-of-the-art research into scalable, real-world solutions, towards a progressive future in the automotive industry. This position offers a unique opportunity to work at the intersection of ML research and practical engineering, addressing challenges in model optimization, inference speed, and integration within automotive systems.


Job Responsibilities:
  • Investigate and develop advanced techniques for small LLMs, including transformer architectures and synthetic data generation for robust training.
  • Explore methods for LLM fine-tuning and optimization, ensuring models are both high-performing and efficient.
  • Collaborate with cross-functional teams to integrate LLM solutions into hardware platforms.
  • Implement optimization techniques such as quantization, runtime adjustments, and inference speed improvements.
  • Work with runtime deployment tools such as ONNX and TensorFlow Lite to optimize model performance on target hardware.
  • Develop and evaluate retrieval-augmented generation (RAG) strategies to enhance model performance in dynamic, unstructured data scenarios.
  • Document experimental findings, contribute to internal technical reports, and support potential publication efforts in top-tier conferences.
  • Participate in team discussions, code reviews, and agile development cycles to continually refine and improve deployment strategies.


Minimum Qualifications:
  • Currently enrolled in MS/PhD program in CS, EE, Math, or a related field, with a strong focus on machine learning, deep learning, and natural language processing
  • Proficiency in Python coding, shell scripting, and working within Linux environments
  • Demonstrated experience in developing and training deep learning models, especially with transformer architectures and language models
  • Extensive experience with deep learning frameworks such a PyTorch and Tensorflow
  • Experience with runtime deployment and optimization tools, e.g. ONNX, TensorFlow Lite
  • Basic understanding of hardware deployment challenges, including containerization tools like Docker
  • Experience with cloud-based tools and platforms such as Azure, Databricks, and Apache Spark
  • Knowledge of model optimization techniques such as quantization, inference optimization, and runtime performance enhancements
  • Basic knowledge of MLOps practices, including experiment tracking and model versioning using tools such as MLflow
  • Understanding of ML workflow: preparing the data, implementing and training ML models, evaluating results, deploying inference on different platforms
  • Experience with git or other version control systems


Preferred Qualifications:
  • Experience with synthetic data generation for ML applications
  • Prior exposure to LLM fine-tuning and evaluation methodologies
  • Hands-on experience with retrieval-augmented generation (RAG) systems
  • Familiarity with processing unstructured data in real-world environments
  • A record of publications or contributions to reputable AI/ML, CV, or NLP conferences and journals
  • Curious, self-motivated, and excited about solving open-ended challenges at Mercedes-Benz


Benefits/Perks:

•PTO

•Sick Time


Additional Information:

The current hourly rate for this position is as follows and may be modified in the future: $28 (Undergraduate Students)/$32 (Graduate Students)

Average salary estimate

$62400 / YEARLY (est.)
min
max
$58240K
$66560K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Mercedes-Benz Research & Development North America (MBRDNA) is continuously striving to innovate premium mobility. It is a place for exceptional people with outstanding ideas and the absolute willingness to bring them to life. We are not about car...

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Internship, on-site
DATE POSTED
April 14, 2025

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