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

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