苹果Machine Learning Engineer, Computer Vision Algorithm (Video Object Detection and Tracking)
任职要求
Minimum Qualifications • M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning • Rich experiences in machine learning and computer vision, covering one of the topics: Video Object Detection / Video Object Tracking / Depth Estimation / Neural Architecture Search • Proven prototyping skills and proficient in coding (C, C++, Python) • Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to wo…
工作职责
The computer vision algorithm engineer will work in a dynamic team as part of the Video Computer Vision org. which develops on-device computer vision and machine perception technologies across Apple’s products. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands.
The computer vision algorithm engineer will work in a dynamic team as part of the Video Engineering org which develops on-device computer vision and machine perception technologies across Apple’s products. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands. Keywords: Machine learning based ISP; Low level object detection and segmentation; Multiple sensor fusion
NVIDIA is seeking an Engineering Manager to lead our machine learning engineers within the Isaac Loco-Manipulation team. You will manage a group of world-class robotics researchers and engineers focused on advancing humanoid loco-manipulation and mobile manipulation, shaping the future of intelligent robotics. What you’ll be doing: • Lead, mentor, and grow a high-performing team of applied research engineers focused on humanoid loco-manipulation and mobile manipulation. • Drive the definition, planning, and execution of projects involving foundation models (GR00T, Cosmos), Isaac Lab, and Newton workflows. • Guide the team in advancing robot learning technologies and synthetic data generation from human video datasets. • Hands-on design, implementation, and deployment of novel algorithms for humanoid robot locomotion and manipulation in simulation and real-world environments. • Ensure seamless integration of applied research outputs with NVIDIA’s advanced robotics platforms. • Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications in top conferences and journals. • Collaborate cross-functionally with product, hardware, and software teams to translate research into impactful products. • Support career development, performance management, and recruitment of top talent.
The NVIDIA Isaac Loco-Manipulation team is seeking exceptional machine learning Interns to join our world-class robotics initiatives. As an intern, you’ll work alongside industry-leading experts, gaining hands-on experience and contributing to the future of humanoid loco-manipulation. We’re looking for strategic, ambitious, and creative individuals who are passionate about pushing the boundaries of robotics. What You’ll Be Doing: • Collaborate with researchers and engineers to define and execute projects focused on humanoid loco-manipulation and mobile manipulation. • Contribute to GR00T and Cosmos foundation models. • Support the development of reference workflows in Isaac Lab and Newton. • Advance technologies for robot learning and synthetic data generation using human video datasets. • Design, implement, and deploy novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments. • Integrate your work with NVIDIA’s advanced robotics platforms. • Transfer your innovations into products, with deliverables including prototypes, patents, and/or publications in top conferences and journals.
The computer vision algorithm engineer will work in a dynamic team as part of the Video Engineering org which develops on-device computer vision and machine perception technologies across Apple’s products. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands.