Sr. Machine Learning Engineer

Embedded in a worldwide network Mercedes-Benz Research & Development North America continuously strives to remain at the forefront of successful automotive research and development. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation. In Farmington Hills, 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.
This role will work in domain of Autonomous Drive and Automated Driving and Advanced Driver Assistance Systems (AD/ADAS), design and develop algorithms and systems that achieves world understanding. This role is expected to have a deep understanding of modern neural network architectures and hands-on experience of large-scale model training and deployment.
Relocation assistance (domestic or international) is not provided for this position.

Job Responsibilities:

• Design and implement algorithms for various multi-task perception and scene understanding problems
• Optimize, evaluate, and deploy the perception solutions for our autonomous driving system
• Evaluate state-of-the-art technology and research in the field
• Be highly collaborative and work closely with research and engineering teams

Minimum Qualifications:

• MS degree in Computer Science or a similar discipline (mechanical, computer, computer science, mechatronics, electrical, etc.)
• Deep understanding of computer vision, machine learning, and robotics
• Hands-on experience with multi-sensor system and sensor fusion
• Comfortable with deep learning frameworks, e.g., Pytorch, Tensorflow
• Strong coding skills in C++ and Python
• Valid Driver’s license

Preferred Qualifications:

• PhD degree in Computer Science or a similar discipline
• 2+ years of industrial experience in autonomous driving
• Hands-on experience of training and deploying foundation models
• Publications on top-tier AI/CV/Robotics conferences 

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: $135,000 - $168,890. 
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 & 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.
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