Software Engineer, Applied ML

AppleCupertino, CA
75d

About The Position

Our mission is to personalize the Apple user experience based on where you go, when you're there, and what those places mean to you. We're developing intelligent systems that understand location context and help users achieve what they want- wherever they are. You've seen our work in action through suggested locations in Maps, Journaling Suggestions for outings and trips, and curated Memories in Photos. We're seeking motivated, experienced engineers to elevate our software's intelligence, performance, and impact. Do you have experience linking users and devices to points of interest on a map? Are you an ML practitioner energized by the challenge of delivering rich contextual intelligence within a tight resource budget? If so, we'd love to hear from you. As part of this role, you'll join a team of software engineers and researchers focused on identifying behavioral patterns and you will help shape new and enhanced user experiences by collaborating closely with teams across sensing, Siri, and apps.

Requirements

  • Experience as an ML practitioner in an industrial setting.
  • Deep Learning experience with CNNs, RNNs/LSTMs, Transformers, etc.
  • Professional background in location and/or other wireless sensing technologies, including GPS/GNSS, WiFi, indoor localization, and/or discrete localization.
  • Excellent communication skills, both verbally and in writing.
  • Ability to innovate within tight memory, CPU, and schedule constraints.

Nice To Haves

  • Experience linking users and devices to points of interest on a map.
  • Motivated by challenges of delivering rich contextual intelligence.

Responsibilities

  • Design, build, and evaluate production ML systems that infer a device's patterns by inference on data like GPS, Wi-Fi, and accelerometers.
  • Combine estimation techniques with machine learning to enhance user experiences.
  • Test and refine your work, track metrics, and iterate for quality.
  • Collaborate closely with teams across sensing, Siri, and apps.
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