Appleposted about 1 month ago
Full-time • Mid Level
San Diego, CA

About the position

Our mission is to personalize the user experience on Apple devices based on where you go, when, and what those places mean to you. We’re building intelligent devices that understand where their users are, and what they want to accomplish there. You’re experiencing our work whenever you see a suggested location in Maps, interact with outings or trips in Journaling Suggestions, or browse your Memories in Photos. We’re looking for motivated, experienced engineers to help take our software to the next level of capability, quality, and impact. Do you have experience associating users and devices with points of interest on a map? Do you have a background in GPS/GNSS, WiFi location, or embedded sensing, and are looking to move up the stack? Are you excited by the optimization problem of providing rich contextual intelligence within a compact resource footprint? If these describe you, read on.

Responsibilities

  • Be part of a team of software engineers, sensing the points of interest on the map that devices visit.
  • Contribute to new and improved user experiences, in partnership with teams in sensing, Siri, and apps.
  • Design, build, and evaluate production algorithms and software systems to infer the place a device is at, using multiple sensors—GPS, WiFi, accelerometer, and others.
  • Utilize a combination of estimation and ML techniques.
  • Test your work, dogfood it, collect metrics, and iterate.
  • Address edge cases that impact a couple percent of a couple billion devices.

Requirements

  • 5+ years experience shipping production software for mobile and/or other resource-constrained devices.
  • Experience with tight memory, CPU, and schedule constraints.
  • Proficiency in Objective-C and Swift, or modern C++ or another compiled object-oriented language.
  • Working knowledge of probability, statistics, and machine learning.
  • Experience in training and executing models for use in real-world applications.
  • Bachelor’s or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related field.

Nice-to-haves

  • Prior experience in pre-training and fine-tuning large models.
  • Prior experience in building models with sparse labelled data.
  • Prior experience in efficient on-device deployment of ML models.
  • Hands-on professional background in location and/or other wireless sensing technologies, including GPS/GNSS, WiFi, indoor localization, and/or discrete localization.
  • Laser focus on customer impact and product experience.
  • Excellent communication skills, verbally and in writing.
  • Ability to succeed in a collaborative environment with a high degree of uncertainty.
  • Ability to innovate within tight memory, CPU, and schedule constraints.
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