Mercedes-Benz Research & Development North America→

ML Ops Intern at Mercedes-Benz… · San Jose

InternshipOn-siteFull-timeSan Jose, CA$58k–$67k/yr

Skills

pythonsqlgitml workflowsci/cdkubernetesdatabrickssagemaker

Job Description

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.

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

Minimum Qualifications:

Master’s 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 Driver’s License

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 CICD pipelines

Experience with LLM inference serving systems

Experience working with cloud data processing technologies

Familiar with object-oriented programming

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/