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 Data and AI 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 customer’s 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 product development and evaluate and propose algorithm adjustments to ameliorate undesired learning behavior, towards a progressive future in the automotive industry.

• 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.
• 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 measurable customer value.

• Master’s or PhD in Computer Science, Electrical Engineering, Math, Statistics, or related fields.
• 4+ years of professional experience in Machine Learning.
• Strong programming skills in Python, with experience in ML frameworks such as PyTorch and TensorFlow.
• Demonstrated track record of developing and implementing machine learning algorithms in a product environment.
• 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: preparing the data, implementing and training ML models, evaluating results, deploying inference on different platforms.
• Experience leading research topics through a full research pipeline: from concept to proof and validation.
• Demonstrate excellent communication, organizational, critical thinking, problem-solving, and analytical skills, effectively engaging with both technical and non-technical audiences.
• Valid CA Driver’s License.

• Experience in one or more of the following areas: Recommendation Systems, Bayesian inference and Gaussian processes, Time series, GNNs, Information retrieval and Data mining, Natural Language Processing.
• Distributed data processing in Hadoop, Spark, BigQuery, or Apache Beam.
• Distributed training.

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 diversity, 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 (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 & 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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