Machine Learning Engineer (Applied AI)

Apple

3.7

(120)

Shanghai, China

Why you should apply for a job to Apple:

  • 66% say women are treated fairly and equally to men
  • 66% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Company commitment that women earn the same as men performing similar work includes no salary history disclosure policy.
  • Apple University creates classes, seminars, and tools to help employees understand Apple’s culture, organization, and values.
  • Whether you donate time or money, Apple will match charitable contributions up to $10,000 a year.
  • #200558344_CN-1

    Position summary

    th business teams to analyze key business problems and develop innovative ML solutions - Design advanced machine learning models that solve real-world problems and validate ML solutions end-to-end - Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready - Monitor and maintain deployed models to ensure they continue delivering value - Connect with other AI/ML teams within Apple and be a trusted advisor for the ML knowledge and experience

    Minimum Qualifications

    • 6+ years of experience in applying machine learning technologies to solve real-world business problems

    • Demonstrated experience in requirement analysis, can transform business problems into ML solutions very well, can communicate with both technical and non-technical stakeholders clearly

    • Experienced in building, deploying and running Machine Learning applications or services

    • Demonstrated expertise in machine learning, deep learning, or reinforcement learning

    • Proficiency in implementing data-intensive pipelines and applications using programming languages such as Python, Java or Golang

    • Strong written and verbal communication skills

    • Bachelor or above in Computer Science, Machine Learning, Data Science, Statistics, Operations Research, Mathematics, or a related field

    Preferred Qualifications

    • Practical experience in at least one of the following domains: time series forecasting, anomaly detection, search and recommendation systems, feedback control, interpretable machine learning or computer vision

    • Hands-on experience working with deep learning toolkits such as Scikit-Learn, AutoGluon, PyTorch or TensorFlow

    • Strong foundation in data structures, algorithms, and software engineering principles.

    • Experience with SQL and database systems such as PostgreSQL

    • Experience with building ETL pipeline in data warehouse such as Snowflake

    • Experience working on Linux and macOS based platforms

    Additional Requirements

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    Why you should apply for a job to Apple:

  • 66% say women are treated fairly and equally to men
  • 66% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Company commitment that women earn the same as men performing similar work includes no salary history disclosure policy.
  • Apple University creates classes, seminars, and tools to help employees understand Apple’s culture, organization, and values.
  • Whether you donate time or money, Apple will match charitable contributions up to $10,000 a year.