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yanke 等级 ★ 楼主 发表于 2016/12/8 10:14:09 编 辑 |
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机器人眼里 仍是一片混沌 加入我们 定义规则 画龙点睛 AiFi由来自Google[x]和Apple的资深计算机视觉专家、斯坦福大学、卡耐基梅隆大学、杜克大学等一流院校的教授学生组建而成，掌握计算机视觉最尖端的技术。总部位于美国硅谷，资金充裕，目前在组建中国的工程师团队。如有意向请发简历至hello@aifi.io Rob Siltanen said: “...the people who are crazy enough to think they can change the world, are the ones who do.” Here at AiFi, we have the craziest people ranging from world champions in programming contests to professors at Stanford/Duke, and innovators at Apple SPG and Google [x]. And we are changing the world right when you are reading this post. We are redefining what phones, tablets, PC and TV can do by enabling them to see. Our cutting edge technologies are leveraging research and influencing every single industry. AiFi is looking for nimble, startup-style talents to lead a revolutionary change with us. Specifically we are looking for software engineer (Computer Vision/Machine Learning), research engineer and full-stack software engineer. Before the specifics, take a look at our incredible benefits: Working with super smart members contributing in a fun and effective way.Super competitive salaries and benefits.Unlimited vacations and flexible working hours. Visits and transferrals to Silicon Valley. 20% working time dedicated to your interests ---------------------------------------------------------------------------------------------------- Software Engineer - Computer Vision / Machine Learning Responsibilities: Design and implement highly efficient computer vision algorithms and applications. Requirements:Degree in computer science, mathematics, EE or related Solid C/C++ and system building experience Strong skills in at least one scripting language such as Python, Matlab and Lua Practical experience with deep learning frameworks is preferred Experience with computer vision and numerical optimization problems is preferred Skills nice to have: Tensor Flow, GPU programming, openCV Self motivated and eager to learn new things ---------------------------------------------------------------------------------------------------- Research Engineer - Computer Vision / Machine Learning Responsibilities: Design, develop and optimize CV algorithms. Requirements:PhD in computer vision or machine learning Healthy awareness of current ML/CV research literature Fluency with current deep learning frameworks (Tensor Flow, Caffe etc) Advanced in C++, Python, Matlab etc. Self motivated and eager to learn new things ---------------------------------------------------------------------------------------------------- Fullstack Software Engineer Responsibilities: Build large scale machine learning training and serving backend. Requirements:Degree in computer science, mathematics, EE or related Proficient in at least one strongly typed language such as Java, Golang or C++ Proficient in at least one scripting language such as Python, JavaScript, or Ruby Knowledge of cloud infrastructure such as AWS or Google Cloud Thrilled to build large scale distributed systems Ability to come up with simple design and write elegant code Generalist with a great variety of knowledge is a great plus ---------------------------------------------------------------------------------------------------- Here are some of our rules so you know from the get-go if we can work together: Be incredibly dedicated and passionate Never stop learning or prototyping, or dreaming Good communication matters Do you recognize yourself? Send us an email at hello@aifi.io. ---------------------------------------------------------------------------------------------------- Core Team Introduction: Steve Gu, PhD, Duke University, computer vision, futuristic sensing applications, Tsinghua University, 16+ papers, Canesta, co-invented the first 3D touch prototype & concept at Apple, Google[x]. Ying Zheng, PhD, Duke University, Fudan University, efficient algorithm design, computer vision, AI, Google Research, Apple, 35+ research papers and patents, Champion of the 2004 ACM World wide programming contest. Ming Li, MS, CMU, Wuhan University, Google, rich experience in embedded systems, mobile, and cloud development. Juan Terven, PhD, computer vision, deep learning, Instituto Politécnico Nacional, MIT computer vision laboratory, Microsoft Research Redmond, Microsoft Kinect applications. Carlo Tomasi, PhD, Iris Einheuser distinguished professor, Duke University, Stanford University, AI, robotics, 150+ papers, 31,000+ citations, IEEE Computer Society Helmholtz Prize, motion tracking and 3D reconstruction. |
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