ML Ops Intern
Mercedes-Benz Research & Development North America, Inc.
•
San Jose, CA
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Not Applicable
Posted March 13, 2026
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Responsibilities
Commitments
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
Commitments
PTO
Sick Time
MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file.
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What still needs stronger evidence
Requirements
- 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 Skills
- Valid CA Driver’s License
- 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
Education
- (Not required) – Master’s or higher degree, in CS/CE/EE, Math, Statistics, or related fields
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.
Job 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
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/
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.
Job 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
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/