ML Ops Intern
About The Position
At Mercedes-Benz Research & Development North America (MBRDNA), we are committed to delivering world-class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting-edge software and technology, to enhance the driving experience and reduce environmental impact. The Mercedes-Benz AI Experiences team is seeking a Machine Learning Engineering Intern to join our ML Product Development Team for Summer 2026. In this role, you will help enhance our MLOps platform to support a diverse range of use cases powering AI projects that shape the future of Mercedes-Benz vehicles. You will contribute to the development of ML pipelines, tools, and platform capabilities that enable experimentation, CI/CD, deployment, verification, validation, and monitoring of production models, while upholding strong data privacy standards and responsible AI principles. Working closely with cross-functional development teams, you will support the delivery of next-generation infotainment and telematics solutions to Mercedes-Benz customers worldwide.
Requirements
- Masterâs or higher degree, in CS/CE/EE, Math, Statistics, or related fields
- 2+ years of relevant work experience
- Strong programming and software development skills in Python, SQL, and Git
- Familiar with end-to-end development of ML models (data processing, feature stores, training, and deployment) for predictive ML and GenAI
- Hands-on experience with implementation, analysis and updating machine learning and AI algorithms
- Experience designing dashboards for system analysis
- Good understanding of Machine Learning fundamentals
- Strong instincts for efficiency and optimization, with self-motivation to work with colleagues such that only high-quality products reach customers' hands
- Ability to collaborate effectively and pro-actively in cross functional development teams
- Excellent communication, especially written, and organizational skills
- Valid CA Driverâs License
Nice To Haves
- Hands-on experience with cloud MLOPs offerings (AWS SageMaker, Databricks, etc.)
- Experience with distributed cloud computing platforms, particularly Kubernetes or the Hadoop/Spark ecosystem
- Experience building CICD pipelines
- Experience with LLM inference serving systems
- Experience working with cloud data processing technologies
- Familiar with object-oriented programming
Responsibilities
- Architect and implement features in our MLOps framework that improves the ML teams productivity and deliver safe AI products
- Continuously evaluate the latest packages and frameworks in the ML ecosystem
- Enhance error detection and monitoring capabilities for training pipelines
- Work in an Agile/Scrum environment to deliver high quality software with a measurable customer value
- Assist in research topics through multiple phases related to automotive machine learning solutions: experimentation and validation, proof of concept, tuning and constraint adjustment, and testing strategies
- Provide support and insight to development teams responsible for implementation of machine learning techniques in a native head unit environment
- Present and demo research topics to Mercedes-Benz internal groups
Benefits
- PTO
- Sick Time
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What This Job Offers
Career Level
Intern
