www.acad.jobs : academic jobs worldwide – and the best jobs in industry
                
     
Position: Computer Vision/Machine Learning Research Intern for Autonomous Driving
Institution: Robert Bosch LLC
Location: Pittsburgh, Pennsylvania, United States
Duties: Plan and execute cutting-edge research on computer vision and machine learning technologies for image data labeling, with the goal of improving accuracy and assisting human annotators efficiently; Develop and deploy computer vision algorithms in Linux GPU environment; Integrate pre-trained models with web services; Work with team members to solve the challenges in data annotation; Produce publishable research for top conferences/journals
Requirements: Pursuing a PhD in computer vision and machine learning; A solid understanding of fundamental and cutting edge computer vision, machine learning and deep learning; Strong programming skills with Python, Tensor Flow, Keras, Caffe and PyThorch; Experience with large scale public datasets for autonomous driving such as KITTI, Caltech, Berkeley Deep Drive benchmark
   
Text: Computer Vision/Machine Learning Research Intern for Autonomous Driving2555 Smallman St, Pittsburgh, PA 15222, USAInternLegal Entity: Robert Bosch LLCCompany DescriptionThe Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.The Bosch Research and Technology Center in Pittsburgh, PA is focused on the research and development of cutting-edge technologies that will shape the future of the company’s products. Specifically, our team focuses on human-machine collaboration for efficient AI data annotation.AI systems such as self-driving cars require training data consisting of millions of images that need to be annotated by humans. This process can be laborious, but it can be made much more efficient by having AI assistance and intuitive user interaction. As an intern, you will explore the state-of-the-art computer vision and machine learning technologies and develop novel solutions. In this role, you will collaborate with leading researchers in computer vision, machine learning and human computer Interaction.Job DescriptionPlan and execute cutting-edge research on computer vision and machine learning technologies for image data labeling, with the goal of improving accuracy and assisting human annotators efficientlyDevelop and deploy computer vision algorithms in Linux GPU environmentIntegrate pre-trained models with web services Work with team members to solve the challenges in data annotationProduce publishable research for top conferences/journalsQualificationsRequired QualificationPursuing a PhD in computer vision and machine learningA solid understanding of fundamental and cutting edge computer vision, machine learning and deep learningStrong programming skills with Python, Tensor Flow, Keras, Caffe and PyThorch Experience with large scale public datasets for autonomous driving such as KITTI, Caltech, Berkeley Deep Drive benchmarkDesired QualificationExperience with semantic segmentation data labelingAbility to work independentlyExcellent communication skillsAdditional InformationDuration: 3 to 6 months in 2020 (Summer)By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) InitiativesFIRST ROBOTICS (For Inspiration and Recognition of Science and Technology)AWIM (A World In Motion) Job LocationI'm interestedPrivacy PolicyImprintI'm interestedRefer a friendPosted byMary Leech (HRL-Syv)share this jobPowered by (Data Processor)Privacy Policy and Terms of UseShare to WeChat×Copy the link and open WeChat to share.Copy to clipboardOpen WeChatShare to WeChat×Use Scan QR Code in WeChat and click ··· to share.
Please click here, if the job didn't load correctly.







Please wait. You are being redirected to the job in 3 seconds.