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Machine Learning Research Engineer

Location: 

Detroit, MI, US

Shift:  1st

Known for our innovative components, Mitsubishi Electric Automotive America manufactures autonomous-ready infotainment and ADAS solutions, premium audio systems, high-definition displays, and powertrain electronics for standard, electric, and hybrid vehicles. Since 1979 we have served the major automotive, heavy-duty truck, and coach manufacturers across the US, and continue to grow each year!   Be a part of a select team that is making a real impact on the automotive mobility of tomorrow! 

Summary

This professional will work with UX/ Platform designers, architects, managers and other team members to carry out automotive Machine learning and artificial intelligence research projects. This research will be recognized and will contribute toward automotive product development, new use case development, technical marketing, and other business needs. They will utilize a range of research methodologies, such as AI cluster design, ML programming, data mining and big data analytics to communicate results clearly and convincingly through written and oral reports and presentations. 

Responsibilities

  • Works with Senior Advanced development staff to carry out research projects in collaboration with UX designers, Platform Architects, and other stakeholders.  
  • Completes all phases of automotive ML/ AI projects, including research planning, HW and SW design, test and validation, analysis and reporting.
  • Analyzes research data using data analysis tools and techniques.
  • Uses research data to identify opportunities for enhancing usability, improving design, and influencing innovation for in-vehicle technologies.
  • Clearly communicates research findings through written reports and oral presentations to project stakeholders
  • Applies User-Centered Design and Human-Computer Interaction concepts and best practices in day-to-day project tasks to improve machine learning data design.

Qualifications

  • Bachelors’ degree in Computer Science, Robotics Engineering, or related field, and 2 years of related experience OR equivalent in education (MS /PhD).
  • Proficiency in carrying out unsupervised R&D activities in the areas of distributed and centralized ML design, AI software architectures, ML clusters testing and validation, training model development, R&D paper surveying, and/or diary/long-term studies.
  • Proficiency in software development on NVIDIA Jetson or similar. 
  • Familiarity with various hardware component set up (Cameras, microphones, etc.) 
  • Familiarity analyzing and reporting research data using a variety of tools and techniques.
  • Strong organizational skills and attention to detail.
  • Strong verbal, written, and interpersonal communication skills.
  • Expertise in Microsoft Office suite and Visio.

To the extent that such laws prohibit discrimination and harassment, MEAA shall not discriminate against any applicant, associate, vendor, contractor, customer, or client on the basis of age, race, color, religion, creed, ancestry, national origin, citizenship status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, physical or mental disability, medical condition (as defined by applicable law), genetic information, military or veterans’ status or any other basis prohibited by law. 
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Applicants with a disability who need assistance with the application process may contact Human Resources by email at employment@meaa.mea.com or by calling 1-800-275-5077.


Nearest Major Market: Detroit