机器学习工程师 - 计算机视觉（远程职位）
ML Engineer - Computer Vision (Remote Position)
Entefy 的愿景是简化人们在数字世界中的互动方式。为了实现这一目标，我们正在寻找计算机视觉领域的专家。我们的高技能产品团队正在寻找一位机器学习和人工智能专家，具备重新定义计算机如何理解视觉世界的能力。
在这个职位上，你将运用最新的人工智能和计算机视觉技术，参与机密项目，这些项目将影响 Entefy 的全套产品。这是一项极具挑战性的工作，将考验你对算法的深入理解，以构建前所未有的机器智能。
技能和经验：
并非每个人都花时间追求卓越。并非每个人都具备再试一次的动力。Entefy 寻找最优秀的人才，因为我们正在打造首创的 AI 通信技术，让世界变得更好。如果你具有创造性分析能力，充满好奇心，敢于解决大问题，并且能证明自己在计算机视觉方面的卓越能力，那么你已经赢得了与我们团队面试的机会。
要求：
- 扎实的数学、统计学和机器学习理论基础
- 在计算机视觉领域至少 3 年的商业经验（或同等经验）
- 至少掌握一种适用的编程语言，如 Python、C、C++、Java 等
- 熟悉图像分类、分割或描述任务
- 熟练掌握图像处理和计算机视觉工具，如 PIL/Pillow、GraphicsMagick、FFmpeg、OpenCV、SimpleCV 等
- 熟练掌握机器学习工具，如 TensorFlow、Keras、Caffe、Theano、MLLib、Torch 等
其他资格：
- 具备现代计算机视觉深度学习技术的经验，包括卷积网络、残差网络、注意力模型等
- 强大的书面和口头沟通能力
- 计算机科学、机器学习、数学、统计学、物理或计算语言学等相关专业的高级学位
- 具备并行计算技术经验，如 OpenMP、CUDA、OpenACC、MPI 等
- 具备大数据和分布式计算技术经验，如 Hadoop、MapReduce、Spark、Storm 等
- 能够证明掌握多种适用编程语言者优先
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最初发布于 喜马拉雅山
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Entefy’s vision is simplifying how people interact digitally. To make it happen, we’re seeking computer vision-aries. Our hyper-talented Product team is seeking a Machine Learning and AI expert with the skills to redefine how computers make sense of the visual world.
In this role you will utilize the latest techniques in artificial intelligence and computer vision, working on confidential projects that will impact Entefy’s suite of products. This is highly challenging work that will engage your deep understanding of algorithms to build never-before-seen machine intelligence.
Skills and Experience:
Not everyone takes the time to achieve excellence. Not everyone has the drive for one more try. Entefy is searching for the best because we’re building first-of-its-kind AI communication technology to make the world the best place it can be. If you’re creatively analytical, insatiably curious, fearless in tackling big problems, and can demonstrate excellence in computer vision, then you’ve earned yourself an interview with our team.
Requirements:
- Solid fundamentals in mathematics, statistics, and machine learning theory
- Minimum 3 years of commercial experience (or equivalent) in computer vision
- Demonstrable proficiency in at least one applicable programming language such as Python, C, C++, Java
- Proficient knowledge of and experience with image classification, segmentation, or captioning
- Proficiency in image/video processing and computer vision tools such as PIL/Pillow, GraphicsMagick, FFmpeg, OpenCV, SimpleCV, etc.
- Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc.
Other Qualifications
- Experience with modern deep learning techniques in CV including convolutional networks, residual networks, attentional models, etc.
- Strong written and verbal communication skills
- Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics
- Experience with parallel computing technologies such as OpenMP, CUDA, OpenACC, MPI
- Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc.
- Demonstrable proficiency in more than one applicable programming languages is a plus
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Originally posted on Himalayas