Machine Learning Intern
Sunnyvale, CA
Applications have closed
Mercedes-Benz R&D North America
The Mercedes-Benz Data and AI team is seeking a Machine Learning Engineering Intern to join our ML Product Development Team for the Summer of 2023. You will work with our Mercedes-Benz Research & Development North America (MBRDNA) team based in Silicon Valley. The team focuses on applying cutting-edge Machine Learning technology in products that will shape the future of Mercedes-Benz vehicles with the goal of enhancing our customer’s experience.
In this position, you will work independently and collaboratively with our ML Engineers and Data scientists to support the product development as well as evaluation to ameliorate undesired learning behavior, towards a progressive future in the automotive industry.
Responsibilities:
- Provide support to development teams responsible for implementation of machine learning techniques in native head unit and cloud environments
- Work closely with a proactive, highly motivated engineering team to bring next generation infotainment and telematics solutions to Mercedes-Benz products worldwide
- Present and demo research topics to Mercedes-Benz internal groups, and at external events such as academic conferences
- Build, extend, and maintain scalable and robust simulation framework for user in-vehicle behavior generation, allowing for critical discoveries surrounding key performance indicators of ML models and associated customer activity
- Support research topics through multiple phases related to automotive machine learning solutions: experimentation and validation, proof of concept, tuning and model adjustment
- Work in an Agile/Scrum environment to deliver high quality software with a measurable customer value
Requirements
- Currently enrollment or recent completion of BS/MS/PhD program in Electrical Engineering, Computer Science, Math, Statistics, or related field
- Strong programming and software development skills in Python
- Good understanding of Statistical data analysis and Machine Learning concepts (Supervised and Unsupervised Learning, Recommender Systems, Computer Vision)
- Able to learn quickly and willing to share knowledge
- Strong instincts for efficiency and optimization, with self-motivation to work with colleagues such that only high quality products reach customers' hands
- Problem solving and communication skills with both technical and non-technical audiences
Additional Information:The current hourly rate for this position is as follows and may be modified in the future: $28/hr (Undergraduate Students)/$32/hr (Graduate Student)
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. We have an open and flexible environment to allow you to push boundaries, join MBRDNA and design your future.
Benefits for Full-Time* Employees Include: • Medical, dental, and vision insurance for employees and their families • 401(k) with employer match • Up to 18 company-paid holidays • Paid time off (unlimited for salaried employees), sick time, and parental leave • Tuition assistance program • Wellness/Fitness reimbursement programs • Vehicle lease subsidy or company car (for eligible employees only)
* Internships 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 RESIDENTShttps://mbrdna.com/california-employee-privacy-notice/
Tags: Agile ANN Architecture Autonomous Driving Computer Science Computer Vision Data analysis Engineering Machine Learning Mathematics ML models PhD Privacy Python R&D Recommender systems Research Scrum Statistics Testing Unsupervised Learning
Perks/benefits: 401(k) matching Career development Conferences Fitness / gym Flex vacation Health care Medical leave Parental leave Team events Unlimited paid time off Wellness
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