The Role
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.
Our AI Experiences team is seeking a hands-on machine learning expert for research, design, and development of cutting-edge technology applied in projects that will shape the future of Mercedes-Benz vehicles with the goal of enhancing our in-vehicle user experience.
In this role, you will be responsible for design, development, and presentation of novel machine learning techniques and applications, as well as guiding junior members to become experts. You will be working closely with the development team to support the product development as well as evaluation and proposal of algorithm adjustments to ameliorate undesired learning behavior, towards a progressive future in the automotive industry.
This is an on-site role based in San Jose, CA.
Job Responsibilities:
- Lead research topics through multiple phases related to automotive machine learning solutions: experimentation and validation, proof of concept, tuning and constraint adjustment
- 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, and at external events such as academic conferences and tradeshows
- Define, interface and manage relationships with other teams within MBRDNA and Mercedes-Benz organizations
- Have a deep understanding of the business and operational impact for different technology tradeoffs, and able to balance effectively based on company’s need
- Work closely with a proactive, highly motivated engineering team to bring next generation infotainment and telematics solutions to Mercedes-Benz products worldwide
- Work in an Agile/Scrum environment to deliver high quality software with a measurable customer value
Minimum Qualifications:
- Master’s or higher degree, in CS/CE/EE, Math, Statistics, or Physics
- 7+ years of relevant professional experience
- Strong programming skills in Python, with experience in ML frameworks such as PyTorch, TensorFlow
- Experience in deploying machine learning and AI algorithms into product environments
- Extensive experience in areas of Recommendation Systems, Generative AI, GNNs, NLP, Computer Vision
- Deep understanding of machine learning fundamentals. Ability to keep up with the bleeding edge of research in the field, understand its ramifications, and immediately apply it to the betterment of our products
- Excellent understanding of ML workflow: data preparation, model training and evaluation, ablation studies, deployment, and inference optimization on different platforms
- Experience in leading research topics through a full research pipeline: from concept to proof and validation
- Demonstrate excellent communication skills, proactive and effective cross-collaboration, problem solving, and effectively engaging with both technical and non-technical audiences
- Valid CA Driver’s License
Preferred Qualifications:
- Experience architecting AI solutions for user-experience enhancement
- Industry experience in integrating solutions within larger system architectures
- Experience with Reinforcement Learning, Multi-modal Generative AI
- Programming skills in C++
- Experience with distributed data processing in Spark
- Experience leading or mentoring engineers to tackle a large-scale AI problems
The successful candidate’s starting pay will be determined based on a wide range of factors, including, but not limited to, job-related education, skills, and experience, geographic location, and market conditions. The current salary range for this position is as follows and may be modified in the future: $152,300 - $194,100.
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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 18 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.
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https://mbrdna.com/california-employee-privacy-notice/
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The Company
What We Do
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, Costumer 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.
