SVL Research Engineer

Stanford University

Job Number: 82451

Research and Development Scientist and Engineer 1 Job Code: 4981 Job Grade: J

FTE: 100%, Exempt, 18 months Fixed Term with possible extension



School of Engineering, Computer Science Department



The School of Engineering



Stanford Engineering has been at the forefront of innovation for nearly a century, creating pivotal technologies that have transformed the worlds of information technology, communications, health care, energy, business and beyond. Our faculty and students are creative risk-takers who pursue excellence across a breadth of disciplines. Our alumni include some of the world's most successful leaders in technology and business. Our staff are critical to enabling Stanford Engineering to accomplish its mission: seeking solutions to some of the world's most urgent challenges and educating leaders who will make the world a better place through the power of engineering principles, techniques and systems.







Stanford Vision and Learning (SVL) Lab is initiating a new research engineer position, designed to give you hands-on experience in cutting-edge research at the intersection of artificial intelligence and robotics. This program offers a full-time position, where research engineers will work with professors, postdocs, and graduate students in SVL. We are working on challenging open problems in robotic manipulation and developing new machine learning and computer vision methods to scale up robots from laboratories to the real world. Visit pair.stanford.edu for examples of robot learning research performed in our lab.







We expect the research engineers to gain technical knowledge and practical expertise of AI and robotics research. This program is designed to prepare you for subsequent graduate study or kickstart a career in the AI and robotics industry. We are looking for people with strong experience in building real robotics systems and deep enthusiasm for artificial intelligence. Accepted candidates will be based on the Stanford campus, and will work with researchers in SVL to develop hardware systems and AI algorithms for a variety of robot platforms.








Your responsibilities include: