AI/ML - Tools and Automation ML Engineer, Machine Translation

Seattle, WA 98104
  • Job Code
    200222131
Summary

Summary

Posted: Aug 2, 2021

Weekly Hours: 40

Role Number:200222131

Machine Learning Engineers passionate about delighting customer's experience, by building tools and platforms to...Summary

Summary

Posted: Aug 2, 2021

Weekly Hours: 40

Role Number:200222131

Machine Learning Engineers passionate about delighting customer's experience, by building tools and platforms to produce high-performance ML models, pushing the envelope on Machine Learning, Artificial Intelligence, Embedded, and Distributed Computing.

Key Qualifications

  • Excellent coding skills in at least one of the following languages: Python, shell scripting (bash/zsh), Java, C++.
  • Work experience in web applications and full stack development including modern Javascript frameworks such as Vue or React, O/R mapping, and database integrations.
  • Experience in cloud computing, container orchestration (e.g. Kubernetes, Apache Mesos), big data, and distributed processing, is a plus.
  • Knowledge about machine learning technologies for solving problems related to NLP, machine translation, or ASR, and corresponding toolkits such as pyTorch, TensorFlow, etc., is a plus.
  • Excellent communication and problem-solving skills.
  • Fast learner and strong motivation for growing and learning new technologies.

Description

You will contribute to and be responsible for a wide variety of language technologies-related research and development activities. Your focus will be on developing tools and processes for model improvements and their continuous delivery. The role will be part of the model automation team to deal with large quantities of data, apply state-of-the-art methods in deep learning to tackle real-world problems and create production quality models at scale. Your passion about phenomenal products that are used by billions of people is completed by being a team player who thrives in a fast-paced environment with rapidly changing priorities.

Education & Experience

Bachelor's or Master's in engineering.
Computer science related area and data science related are preferred

Additional Requirements

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AI/ML - Tools and Automation ML Engineer, Machine Translation

Apple, Inc.
Seattle, WA 98104

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