Machine Learning Engineer – ML Platform

Apple
Apple

Job Overview

Key Qualifications

  • Significant full-time experience building end to end data systems as a Platform Engineer, ML Engineer, or Data Engineer (or equivalent)
  • Strong software engineering skills in complex multi-language systems. Fluency in Python. Experience working with cloud computing and database systems.
  • Familiarity with data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Conductor, Kafka, etc.)
  • Experience developing with containers and Kubernetes in cloud computing environments (AWS, GCloud, Azure, etc.)
  • Experience building systems with scalable data processing technologies (Spark, Nvidia CUDA, SQL, ElasticSearch, Presto, etc.)
  • Exposure to machine learning methodology and top practices.
  • Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, etc.)
  • Ability to serve as a technical lead including translating business to technical requirements, software design and execution, and clear communication with peers across functions
  • Strong overall software development approach. You deliver clean, well-tested code.
  • Description

    We are a team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. We work on exciting new technologies and balance exploration of new problems with result-driven project planning and execution. In our daily work, the team stays effective, productive, and fun by sharing some key aspects of our demeanor:Passion for the mission: We’re here to make something extraordinary. We seek whatever work is right for the product and strive for the best possible results. Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback.Lean habits: You can’t grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.

    Education & Experience

    Bachelors, Masters, or PhD Degree in Computer Science/Machine Learning or equivalent professional experience.

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