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.

Description

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. Excited to take ownership of complex, end-to-end problems? You'll design, build, and evaluate production ML systems that infer a device's patterns by inference on date like GPS, Wi-Fi, and accelerometers and higher semantic signals - combining estimation techniques with machine learning. You'll test and refine your work, use it yourself, track metrics, and iterate for quality.

Preferred Qualifications

Machine Learning algorithms: Strong grasp of supervised/unsupervised learning, regression, classification, clustering, and model evaluation techniques.

Having worked as an ML practitioner in an industrial setting

Laser focus on customer impact and product experience.

Some professional background in location and/or other wireless sensing technologies, including for example, GPS/GNSS, Wi Fi, indoor localization, and/or discrete localization.

Excellent communication, verbally and in writing. You can succeed in a collaborative environment, and are comfortable with what will sometimes feel like a high degree of uncertainty.

You can innovate within tight memory, CPU, and schedule constraints, and deliver on time. These constraints motivate you, and ignite your creativity.

Minimum Qualifications

Proven experience taking machine learning models through the entire lifecycle-from ideation, data collection, and prototyping to production deployment and monitoring

Demonstrated experience working with time-series analysis, sequential modeling, or spatial-temporal datasets.

Experience handling sparse, irregular, or highly imbalanced data streams typical of real-world sensor or location data

Experience shipping production software for mobile and/or other resource-constrained devices. Tight memory, CPU, and schedule constraints motivate you and ignite your creativity. Capability of creating, analyzing, and modifying SW functionality, ideally in C++/Obj-C/Swift codebases

Experience with libraries like Num Py, pandas, scikit-learn, and Py Torch or Tensor Flow.

Hands-on experience with applied probability, statistics, and empirical and/or ML algorithms. Classical estimation, signal processing, and/or training supervised ML models are relevant.

Bachelor's or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related field.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.