At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrows transportation.
Fords Research and Advanced Engineering team explores new vehicle and societal innovations that require some level of invention before they can be applied to our products and services. The team is building on a history of Ford innovation, including our invention of the three-way catalytic converter to modernize vehicle emissions controls in the 1970s and the worlds first rear inflatable seat belts in 2010.
Today, we are exploring and delivering ways to make smarter vehicles and our transportation system more efficient to improve peoples lives by helping them move more freely, safely and enjoyably. For example, we are changing how our products are made by creating high-quality vehicles in an environmentally and socially responsible way, including the use sustainable materials. Since 2000, we have used 12 industry and world-first plant-based materials in our production vehicles. We also are researching the possible use of tomato skin, bamboo, agave fiber, dandelion roots, algae and coffee chaff as part of our ambitious goal of making our vehicles with up of 20 percent sustainable material by 2025.
What you will be able to do
The Core Artificial Intelligence Machine Learning (AI-ML) research group, within Research and Advanced Engineering, is spearheading the process of discovery through and democratization of AI-ML across all engineering functions within the Ford product landscape. In order to realize a Ford vision of leadership, the Core-AI-ML research team, is looking for highly qualified and motivated individuals who are ready to seek ambitious multi-functional problems that require discovery through fundamental research in non-traditional directions.
As part of the Core AI-ML team, you will be responsible for conducting research for advancing the state-of-theart in one or more areas of Computer Vision/Deep Learning. This role also requires general proficiency in software development for crafting end-to-end design frameworks for model development, training and deployment. The ideal candidate will be a fast learner and be flexible in embracing new directions of research. The candidate will have a proven track record to quickly develop a structured research portfolio and progress new concepts to support Fords emergent research objectives in the area of AI-ML. You will:
* Implement and improve the state-of-theart object detection, tracking and/or semantic segmentation models
* Craft and implement end-to-end frameworks for data management, model development, training and deployment
* Explore knowledge distillation-based algorithms for compression of deep models
* Research knowledge graph and GNN for enhancing representation learning.
* Write production-level code that is efficient, readable and extensible
* Publish the results of the project in top-tier computer vision conferences
* Independently solve problems and complete the project
The minimum requirements we seek
* Pursuing Masters Degree or PhD Degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Physics or Robotics
* 1+ years of experience in computer vision and image processing algorithm design and implementation (coursework/internship/co-op experience allowed)
Our preferred requirements
* Knowledge of object detection and tracking, semantic segmentation, scene understating, multi-modal perception, time series (e.g., video sequences, etc.) and sensor fusion
* Experience in image super resolution, Attention mechanism and interpretable AI, thermal cameras, model robustness/generalization and adversarial attacks
* Proficient in Python, OpenCV, Sklearn, Numpy and Deep Learning frameworks (e.g. Pytorch, Tensorflow, etc.)
* Proficient in Object Oriented programming, software architecture, data structure and algorithms
* Self-motivated, responsible, excellent written and verbal interpersonal skills
What you will receive in return
As part of the Ford family, you will enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation and much more. You will also experience exciting opportunities for professional and personal growth and recognition.
If you have what it takes to help us redefine the future of mobility, we would love to have you join us.
Visa sponsorship may be available for this position.
We are 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.
For information on Fords benefits and compensation, click here: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2021-benefits-and-comp-GSR-sal-plan-3.pdf
Dearborn, MI
Ford Motor Company is an American multinational automaker that has its main headquarter in Dearborn, Michigan, a suburb of Detroit. It was founded by Henry Ford and incorporated on June 16, 1903. The company sells automobiles and commercial vehicles under the Ford brand and most luxury cars under the Lincoln brand. Ford also owns Brazilian SUV manufacturer Troller, an 8% stake in Aston Martin of the United Kingdom and a 32% stake in Jiangling Motors.It also has joint-ventures in China (Changan Ford), Taiwan (Ford Lio Ho), Thailand (AutoAlliance Thailand), Turkey (Ford Otosan), and Russia (Ford Sollers). The company is listed on the New York Stock Exchange and is controlled by the Ford family; they have minority ownership but the majority of the voting power.
Ford introduced methods for large-scale manufacturing of cars and large-scale management of an industrial workforce using elaborately engineered manufacturing sequences typified by moving assembly lines; by 1914, these methods were known around the world as Fordism. Ford's former UK subsidiaries Jaguar and Land Rover, acquired in 1989 and 2000 respectively, were sold to Tata Motors in March 2008. Ford owned the Swedish automaker Volvo from 1999 to 2010. In 2011, Ford discontinued the Mercury brand, under which it had marketed entry-level luxury cars in the United States, Canada, Mexico, and the Middle East since 1938.
Ford is the second-largest U.S.-based automaker (behind General Motors) and the fifth-largest in the world (behind Toyota, VW, Hyundai-Kia and General Motors) based on 2015 vehicle production. At the end of 2010, Ford was the fifth largest automaker in Europe. The company went public in 1956 but the Ford family, through special Class B shares, still retain 40 percent voting rights. During the financial crisis at the beginning of the 21st century, it was close to bankruptcy, but it has since returned to profitability. Ford was the eleventh-ranked overall American-based company in the 2018 Fortune 500 list, based on global revenues in 2017 of $156.7 billion. In 2008, Ford produced 5.532 million automobiles and employed about 213,000 employees at around 90 plants and facilities worldwide.