Research Engineer – Machine Learning Applications

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Job Title:
Research Engineer – Machine Learning Applications
Ford Motor Company

Job Description
Job Description:
The Customer Features and Interaction Technologies department in Ford’s Research and Advanced Engineering organization is responsible for researching and delivering technology and features for Ford’s future infotainment offerings. A particular focus of the work is to enhance the traditional vehicle systems with machine learning capabilities, letting the vehicle learn the user’s behaviors, predict, and adapt to the individual users. Our particular team is focused on machine learning applications and prediction related feature research and development, and we are both researching and prototyping new features, technologies and experiences for our drivers.

This position is primarily focused on researching, defining, and developing customer facing applications and features enabled by machine learning and artificial intelligence technology; and work tasks span from the early research and development stages of ideation, experience and use case development, through development of Proof-of-Concept solutions, vehicle integration and finally delivery of features to the Product Development organization. We are looking for a person with documented experience of machine learning and AI, especially focused on developing applications and features using these technologies, preferably related to vehicle applications, in-vehicle infotainment, navigation and/or destination and route prediction, and which has a basic understanding of programming embedded systems and understanding of embedded hardware and communications concepts.

Job Responsibilities:
  • Research and develop concepts and prototypes of new applications and features powered by machine learning, producing idea presentations, technology demonstrations, use cases, proof-of-concept implementations, specifications and requirements
  • Work with the UX engineers to define an optimal user experience for the feature and/or technology
  • Designing and specifying implementations
  • Development and maintenance of support technologies and platforms for features
  • Leading technology and feature development projects delivering to internal customers
  • Actively ideate and invent new features for the connected vehicle
  • Performing competitive analyses and maintain knowledge of emerging technologies in both the automotive and consumer electronics field, especially around connectivity, navigation and prediction

Required Qualifications:
  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or similar electronics/software related field or in a field related to mathematics with focus on machine learning and artificial intelligence
  • 1 year of practical experience with, concepts relating to prediction and machine learning (coursework is allowed)
  • 2 years of experience with feature development (in a professional setting)

Preferred Qualifications:
  • Experience with concepts relating to navigation and digital maps
  • Experience with development tools and programming
  • Enthusiastic to be able to bridge the world of vehicle features with the potentials of machine learning
  • Experience in designing, evaluating and using prediction related features such as destination prediction
  • Experience in designing, evaluating and using features and technologies based on machine learning
  • Experience with a wide range of imperative, object oriented, and scripting programming languages such as C, C#, C++, Java, or PHP
  • Experience with basic UX related concepts such as visual design tools, wire framing tools, design guidelines and interaction models
  • Experience both with common programming frameworks such as .NET, Android SDK, and/or iOS SDK, but also developing proprietary APIs
  • Experience with writing requirements and documenting software architecture, preferably with help of UML
  • Experience with vehicle networks and systems a plus
  • Self-motivated with the ability to manage multiple tasks. Excellent communication skills.
  • A genuine interest in technology, electronics, gadgets and programming, both on a professional and personal level.

The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.

Visa sponsorship may be 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.