Senior Machine Learning Engineer

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 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. 
Relocation assistance (domestic or international) is not provided for this position.

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
• 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, Computer Science, Electrical Engineering, Math, Statistics, or related fields
• 5+ years of relevant work experience
• Strong programming and software development skills (Python/C++)
• Hands-on experience with implementation, analysis and updating machine learning and AI algorithms in real world products
• Good 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  
• Ability to quickly and effectively diagnose issues, evaluate fixes, and propose solutions for statistical data analysis and machine learning techniques (e.g. Regression, Classification, Clustering, Time series, Deep learning) 
• Strong instincts for efficiency and optimization, with self-motivation to work with colleagues such that only high quality products reach customers' hands
• Experience with ML frameworks such a PyTorch and Tensorflow
• Understanding of ML workflow: preparing the data, implementing and training ML models, evaluating results, deploying inference on different platforms
• Ability to collaborate effectively and pro-actively in cross functional development teams
• Experience leading research topics through a full research pipeline: from concept to proof and validation

Preferred Qualifications:

• Experience in one or more of the following areas: Recommendation Systems, Generative Ai and LLMs, Bayesian inference and Gaussian processes, Time series, GNNs, Natural Language Processing, Information retrieval and Data mining
• 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: $135,000 - $168,800. 

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.
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