Machine Learning Intern, ML Product Development (Masters/PhD)

Sunnyvale, CA
AI Experiences – Data & AI Platform (4046) /
Intern /
The Mercedes-Benz Data and AI team is seeking a Machine Learning Engineering Intern to join our ML Product Development Team for the Summer/Fall of 2024. 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 ML Engineers and Data scientists to support the product development as well as evaluation to ameliorate undesired learning behavior, towards a progressive future in the automotive industry.      

Job Responsibilities:

    • Provide support to development teams responsible for implementation of machine learning techniques in native head unit and cloud environments
    • 3 years of relevant experience required
    • Work closely with a proactive, highly motivated engineering team to bring next generation infotainment and telematics solutions to Mercedes-Benz products worldwide
    • Develop scalable and robust Machine Learning approaches towards personalization for in-vehicle customer experience
    • Support research topics through multiple phases related to automotive machine learning solutions: experimentation and validation, proof of concept, tuning and model adjustment
    • Present and demo research topics to Mercedes-Benz internal groups, and at external events such as academic conferences
    • Work in an Agile/Scrum environment to deliver high quality software with a measurable customer value

Minimum Qualifications:

    • Currently enrolled in a Masters or PhD program in Computer Science, Electrical Engineering, Statistics, or Applied Mathematics
    • Strong programming and software development skills (Python/C++)
    • In-depth understanding of Statistical data analysis and Machine Learning concepts (Supervised and Unsupervised Learning, Recommender Systems, Reinforcement Learning)
    • Extensive experience with ML frameworks such a PyTorch and Tensorflow
    • Strong instincts for efficiency and optimization, with self-motivation to work with colleagues such that only high quality products reach customers' hands
    • 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
    • Problem solving and communication skills with both technical and non-technical audiences

Preferred Qualifications:

    • Experience with Sparks and Databricks
    • Experience with cloud platforms such as Microsoft Azure
    • Experience with model conversion and deployment to edge devices
    • Curious, self-motivated, and excited about solving open-ended challenges at Mercedes-Benz
•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)