Machine Learning Engineer
Apple
Zurich, Zurich, Switzerland
vor 10 Std.

Key Qualifications

  • Excellent knowledge and good practical skills in ML based perception algorithms
  • Experience in object level image understanding / visual search
  • Skilled in deep learning for image / video understanding, object detection, semantic segmentation
  • Able to develop and implement high-quality computer vision algorithms
  • Strong interpersonal skills; able to work independently as well as in a team
  • Excellent software design, problem solving and debugging skills
  • Proficiency in Python and another language (C / C++, Go, Swift, Rust)
  • Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch)
  • Description

    As a machine learning engineer you are excited to solve high impact problems using deep learning and large data sets. You will stay up to date with the latest research in detection, segmentation and metric learning and work with a team of highly qualified computer vision and machine learning specialists to develop innovative computer vision / machine learning systems in the area of image and video understanding.

    You'll be involved in all phases of model development including data analysis, prototyping, testing, deployment.Based in Zürich, we work closely with teams across Apple worldwide.

    We are looking for passionate Applied ML Engineers to join our Agile development teams. You will have great technical skills, a drive for high quality software and the ability to innovate creative solutions.

    Communicating clearly and having the flexibility to learn new technologies, while continuously developing your skills will be key to your success.

    You will fit into our teams, be a hardworking collaborator, comfortable with giving and receiving feedback and able to thrive in a dynamic environment.

    If this is you, we'd love to hear from you.

    Education & Experience

    MS or PhD in computer vision, machine learning, computer science or equivalent industry experience.

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