Research Engineer – Deep Learning and Generative Design

Develop a research portfolio and take the lead on companywide research, development and progression of the state-of-the-art in Machine Learning, Deep Learning and Evolutionary techniques as they relate to the broad area of GANs and Generative Design (GD) for traditional areas. Develop suitable GAN based learning architectures and leverage appropriate optimization techniques and inverse methods, as may become necessary when dealing with diverse engineering problem statements. Explore the feasibility of GANs as a tool for data augmentation for expensive simulation of complex processes such as CFD, large design space explorations, vehicle testing and calibration and training of vision and NLP systems.

According to JobzMall, the average salary range for a Research Engineer – Deep Learning and Generative Design in 3251 Hillview Ave, Palo Alto, CA 94304, USA is:

$108,000 - $150,000 per year.

Ford is a leading top 10 automobile companies in the world and was established in 1903 by Henry Ford at Dearborn, Michigan, United States. Ford makes many popular car models such as Fiesta, Endeavour, Eco sport, Expedition, Escape, Mustang, Taurus, Focus, and Fusion. This top automobile company in 2018 has an annual production capacity of around 6.7 million cars and employs more than 200,000 personnel. Ford had an estimated annual revenue of almost $150 billion with a net income of around $8 billion in 2017 and owns more than 90 automobile manufacturing plants across the world.