ML and Data Ops Intern

ML and Data Ops Intern

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.

About the Role

The Mercedes-Benz AI Experiences team is seeking a Data Science Intern to join our ML Product Development Team for Summer 2026. In this role, you will help enhance our ML/Analytics workflows to support a diverse range of use cases powering projects that shape the future of Mercedes-Benz vehicles. You will help transform experimental data science workflows into scalable, production-ready systems by streamlining codebases and building robust data and ML pipelines. In this role, you’ll develop and optimize tooling and infrastructure that support the full model lifecycle, experimentation, CI/CD, deployment, validation, and monitoring, while ensuring code quality, reliability, and maintainability. Working closely with cross-functional teams, you will contribute to delivering next-generation infotainment and telematics solutions to customers of Mercedes-Benz, while upholding strong data privacy standards and responsible AI practices.

Job Responsibilities

• Streamline and productionize data science workflows by refactoring ad hoc code into scalable, maintainable ML pipelines and shared libraries
• Continuously evaluate the latest packages and frameworks in the ML ecosystem
• Enhance error detection and monitoring capabilities for training pipelines
• Improve observability by adding robust error handling, logging, and monitoring across data and 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 native head unit environment
• Present and demo research topics to Mercedes-Benz internal groups

Minimum Qualifications

• Master’s or higher degree, in DS/CS/CE/EE, Math, Statistics, or related field
• Strong programming and software development skills in Python, SQL, and Git
• Hands-on experience with implementation, analysis and updating machine learning and AI algorithms
• Experience designing dashboards for system analysis and data insights
• 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

Preferred Qualifications

• 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 and optimizing CI/CD pipelines
• Experience working with cloud data processing technologies
• Familiar with object-oriented programming
• Familiar with end-to-end development of ML models (data processing, feature stores, training, and deployment) for predictive ML and GenAI

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)

Why should you apply?

Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. MBRDNA was honored as one of the "Best Places to Work" by BuiltIn in January 2024, a testament to our commitment to creating an exceptional work environment. At each of our offices, we foster a culture of collaboration and continuous learning, ensuring every team member can thrive and innovate.

Benefits for Full-Time Employees Include:

• Medical, dental, and vision insurance for employees and their families
• 401(k) with employer match
• Up to 15 company-paid holidays
• Paid time off (flexible time off for salaried employees), sick time, and parental leave
• Tuition assistance program
• Wellness/Fitness reimbursement programs

Internships & Contractors excluded from Full-Time Employee benefits

MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.

Mercedes-Benz Research and Development North America, Inc.

PRIVACY NOTICE FOR CALIFORNIA RESIDENTS

https://mbrdna.com/california-employee-privacy-notice/

Key skills/competency

• ML and Data Ops Intern
• Python
• SQL
• Git
• Machine Learning
• AI Algorithms
• ML Pipelines
• CI/CD
• Cloud MLOps
• Data Science