Intern ML Engineering - Sensior Fusion

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 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.
The Sensor Fusion team is seeking a Machine Learning Engineering Intern for research, design, and development of cutting-edge technology applied in order to bring SAE level 4 autonomous vehicles to the market safely. In this role you will help the team to design, document and present novel machine learning techniques and applications. You will be working closely with the development team to support the product development as well as evaluation and proposal of algorithm adjustments to avoid undesired learning behavior.  

Job Responsibilities:

• Work in an Agile/Scrum environment to deliver high quality software which will be integrated into test vehicles.
• Provide support to development teams responsible for autonomous driving machine learning solutions: experimentation and validation, proof of concept, tuning and constraint adjustment.
• Work closely with a proactive, highly motivated engineering team to bring future generation autonomous driving solutions to Mercedes-Benz products worldwide.
• Present and demo research topics to Daimler internal groups.

Minimum Qualifications:

• Currently enrollment / recent completion of BS/MS program in Computer Science, Math, Statistics, or related technical field of study.
• Strong programming and software development skills in Python.
• Good understanding of Statistical data analysis and Machine Learning concepts (Supervised and Unsupervised Learning, Recommender Systems)
• 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

Preferred Qualifications:

• Experience with ML frameworks such as Keras and Tensorflow
• Understanding of ML workflow: preparing the data, implementing and training ML models, evaluating results, deploying inference on different platforms
• Curious, self-motivated, and excited about solving open-ended challenges at Mercedes-Benz

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. Our benefits include medical, dental and vision insurance, 401k savings plan, tuition and fitness reimbursement programs and much more.  We have an open and flexible environment to allow you to push boundaries, join MBRDNA and design your future. 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.
Thank you for your interest in Mercedes-Benz Research & Development North America. Please be aware the impact of COVID-19 could increase the amount of time it takes our HR and Hiring Team to process your application. We apologize for any inconvenience this may cause. We are dedicated to the health and safety of our employees and candidates. We appreciate your patience during this time.
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