SIML - Full Stack Machine Learning Infrastructure Engineer

    • Cupertino, CA


Posted: Apr 15, 2020

Weekly Hours: 40

Role Number: 200153270

Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can. And we are looking for hardworking engineers who can contribute to building the ecosystem of tooling necessary to create these exciting technologies. We are the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning technologies to Apple's ecosystem. Our team combines research and development in a dynamic and exciting environment and delivers robust solutions that are implemented across all of Apple products.

Key Qualifications

  • 5 years of experience in full-stack development
  • Good knowledge of C, C++ and Java and/or Python required.
  • Experience with or a strong desire to learn about machine learning
  • Good interpersonal skills and proven success involving multiple teams


In this role as the successful candidate, you will be building infrastructure to support product-focused machine learning projects You will build systems using machine learning to index terabytes of data for projects in domains like computer vision, natural language processing, human-computer interaction and text recognition. You will define and build out systems for analysis of failure modes of algorithms built upon this data, and for reporting overall benchmarking results for model comparisons. The technology you build will play a major role in defining candidate datasets for annotation, ingestion of annotated data into our systems, and making the data available to machine learning scientists in a seamless manner. This role requires a diverse set of skills, from tackling low-level distributed computing challenges at bare metal, to contributing to internal client user experiences by building stable interfaces, and everything in between. As the ideal candidate, you enjoy variety, and are passionate about working on new things on a frequent basis. You love working with a large number of people across teams throughout the company, and driving solutions that take multiple partners into account. You are either a machine learning industry veteran, or simply a stellar engineer wanting to expand your horizons and learn more about the nitty gritty of how machine learning projects get off the ground from inception to release.

Education & Experience

Bachelors, Masters, or Ph.D. in Computer Science, or equivalent related fields

Additional Requirements

  • - Ability to provide publicly-available samples of work done, or proven success in code competitions/hackathons, is a plus
  • - Familiarity with Objective-C a strong plus

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