ML Ops Intern
Mercedes-Benz Research & Development North America, Inc.Highlight
Summary
About the Role
About You
- 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 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.
- Ability to collaborate effectively in cross-functional teams.
- Excellent communication and organizational 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.
Benefits
- PTO
- Sick Time
Mercedes-Benz Research & Development North America (MBRDNA) is continuously striving to innovate premium mobility. It is a place for exceptional people with outstanding ideas and the absolute willingness to bring them to life. We are not about cars only - we are also about the latest and greatest software, cutting-edge technology, and groundbreaking innovation: Embedded in a worldwide network MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Consumer Research, and Open Innovation. In Redford, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the teams test durability of the latest driver assistant and telematic systems. The Digital Hub in Seattle focusses on developing a cloud architecture and building out the cloud platform for the next generation of connected car services. The Testing and Regulatory Affairs Division in Ann Arbor and the Advanced Vehicle Design in Carlsbad complete the competence center.