Software Engineer, Applied ML

Apple, Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Stock programs

RSU awards

Employee Stock Purchase Plan

Medical & dental coverage

Retirement benefits

Discounted products

Education reimbursement

Job summary

Apple, Inc. in Cupertino, CA is seeking seasoned engineers to elevate our location technologies.

You will shape the multi-year technical roadmap, translate product goals into strategy, and balance architectural trade-offs while collaborating with sensing, Siri, and apps teams. Ideal candidates have deep production software experience, strong ML and data processing skills, and a track record of leading multi-engineer projects for mobile or resource-constrained devices.

Qualifications

• Experience building and shipping production software.
• Experience shipping production software for mobile and/or resource-constrained devices.
• Proficiency with C++/Obj-C/Swift codebases.
• Data processing with large, noisy datasets.
• Hands-on with ML libraries (NumPy, pandas, scikit-learn, PyTorch or TensorFlow).
• Applied probability, statistics, and ML/MS algorithms.

Responsibilities

• Define feature development direction and strategy for location tech.
• Set multi-year technical roadmap and translate product goals into strategy.
• Collaborate with sensing, Siri, and apps teams to shape user experiences.

Skills

Production software

Mobile development

C++/Obj-C/Swift

Data processing

ML libraries

ML algorithms

Education

Bachelors/Masters in CS/CE/Math

Tools

NumPy

pandas

scikit-learn

PyTorch

TensorFlow

Job description

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. We are looking for a seasoned engineer who can help define where this work goes next, not just how it gets built. 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 a seasoned engineer on the location technologies team, you will drive the direction for feature development and strategy. 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. You will partner with engineering, product, and research leadership to set a multi-year technical roadmap, translate ambiguous product goals into clear technical strategy, and make the architectural and investment trade-offs that follow.

Minimum Qualifications

• Experience building and shipping production software, including technical leadership of multi-engineer projects.
• 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.
• Data processing: Skilled in working with large, noisy datasets.
• Experience with libraries like NumPy, pandas, scikit-learn, and PyTorch or TensorFlow.
• 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.

Preferred Qualifications

• Proven track record of setting technical strategy and roadmaps for ML-driven product features, and of influencing decisions across organizations without direct authority.
• 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.
• Experience mentoring and growing engineers, and building alignment among technical and non-technical stakeholders.
• Laser focus on customer impact and product experience.
• Some professional background in location and/or other wireless sensing technologies, including for example, GPS/GNSS, WiFi, indoor localization, and/or discrete localization.
• Excellent communication, verbally and in writing. You can present strategy and technical trade-offs clearly to senior leadership. 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.

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 $184,700 and $324,800, 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 f