AI/ML – Machine Learning Engineer – Multi-modal Systems, Siri Understanding


Job Overview

Key Qualifications

  • Machine learning research and development experience on developing systems for computer vision, speech recognition, natural language understanding applications.
  • Fluency in programming languages including but not limited to Python/Java.
  • Proficiency in at least one major machine learning framework, such as Tensorflow, PyTorch etc.
  • Strong understanding of machine learning for different modalities like computer vision, speech processing, natural language understanding.
  • Consistent track record of researching, inventing and/or shipping advanced machine learning algorithms
  • Creativity and curiosity for solving highly complex problems
  • Outstanding communication and interpersonal skills with ability to work well in cross functional teams.
  • Description

    You will be a part of a team that’s responsible for help research and develop Siri’s multi-modal experience in a full range Apple devices. This position requires passion for researching and developing multi-modal machine learning algorithms and systems. You will work with the speech, vision, natural language understanding teams to deliver a great Siri user experience. You must have a “make this happen” attitude and willingness to also work hands-on in building machine learning tools, testing, data collection, running experiments as well as work with state-of-the-art computer vision, speech and natural language understanding processing algorithms.Your key responsibilities in this role are:-Research, design and implementation of machine learning/deep learning algorithms-Benchmarking and fine tuning of machine learning/deep learning algorithms-Optimizing algorithms for real time and low power constraints for embedded devices-Support algorithm integration into Apple products-Collaboration with teams across Apple with multidisciplinary skills Because you’ll be working closely with engineers from a number of other teams at Apple, you’re a team player who thrives in a fast paced environment with rapidly changing priorities.

    Education & Experience

    MS/Ph.D in Computer Science, Electrical Engineering or related field with focus on machine learning, computer vision, speech processing, natural language understanding or similar

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