Job Details

Artificial Intelligence / Machine Learning Scientist

Kim Fuger | Program Support Specialist, Mobius Institute

Location: Dearborn

Job Description & Qualifications

Ford Motors’ Global Data Insight and Analytics (GDI&A) organization is looking for smart, nice and curious data scientists with exceptional skills in Machine Learning (ML), Artificial Intelligence (AI) and Scalable Computing.  No other industry has the diversity, difficulty and economic impact of quantitative-based solutions as those found in the automotive industry. And no other automotive company in the world has the size, executive support or computing infrastructure to match that provided to GDI&A by Ford Motor. We are seeking high-potential Machine Learning and AI scientists to assist in all phases of project work, including problem identification, formulation, model development, and deployment for use in support of Ford Smart Mobility and Autonomous Vehicle initiatives. These scientists must have strong self-discipline, initiative and possess a passion for life-long learning to face evolving challenges in rapidly changing mobility technology. Successful candidates will be given the autonomy to conduct original research and choose appropriate methodologies to solve world-class machine learning problems.  This position involves the development and deployment of AI and ML technology in areas such as autonomous vehicles, cybersecurity, customer interaction, product design, development, manufacturing, quality and marketing of connected vehicles. If hired, you will be a member of a team that applies cutting-edge AI and Machine Learning techniques to develop innovative solutions for these problems and participate in building a strategy for future contributions in these domains and more.

Ford’s GDI&A skill team – situated in greater Detroit, Palo Alto, Aachen, Chennai and Shanghai – is a large and growing team committed to enabling Ford’s leadership in leveraging the most advanced analytics solutions in the industry. We enable evidence based decision making by providing timely and actionable insights to our internal business partners. Together our team works to understand our changing world, identify new opportunities, and take action to design and innovate for the future of mobility and the socio-technological symbiosis of our customers with Ford vehicles to the benefit of society.

Responsibilities:

  • Analyze source data and data flows, working with structured and unstructured data
  • Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships and trends
  • Apply AI and Machine Learning technology to solve complex, real-world problems
  • Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely
  • Fulfill problem formulation and ML technique consulting requests in a timely manner
  • Communicate and present analytical models to business customers and executive management
  • Work collaboratively with different business partners and be able to present results in a clear and concise manner
  • Teach and mentor others in the use of AI and Machine Learning techniques

Basic Qualifications:

  • Bachelor’s degree in engineering /science / business or related technical streams.
  • 2+ years of experience of software development with Python / Scala / Java /  R / C++/ related technical languages
  • 1+ years working with Artificial Intelligence / Machine Learning tools and techniques

Preferred Qualifications:

  • Masters / PHD degree in Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics preferred
  • 1+ years of experience with SQL, Spark, or Hadoop
  • 2+ years of experience with Machine Learning or Artificial Intelligence techniques in one or more of the following: advanced neural network architectures, regression, classification and clustering
  • 2+ years of experience with data sources and data platforms (Teradata, Hadoop, Spark, Hive, Oracle, SQL Server or DB2)
  • Demonstrated ability in the application of Machine Learning or AI in real-world industrial settings with large scale data
  • Experience with Deep Learning tools such as TensorFlow, PyTorch or other frameworks on GPUs
  • Experience with Agile software development
  • Experience with parallel and distributed computing is a plus
  • Strong oral and written skills.

Join our team as we create tomorrow!  We believe in putting people first, working together, and facing challenges head-on, because we’re Built Ford Tough. We’re one team striving to make people’s lives better while creating value, delivering excellence and ultimately going for the win.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis.  Verification of employment eligibility will be required at the time of hire.  Visa sponsorship is not available for this position.

Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.