Software Engineer, Applied ML
Apple
Software Engineer, Applied ML
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. 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. 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.
Locations
- Cupertino, California, United States 95014
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- experience linking users and devices to points of interest on a mapintermediate
- ML practitionerintermediate
- delivering rich contextual intelligenceintermediate
- identifying behavioral patternsintermediate
- collaborating closely with teamsintermediate
- take ownership of complex end-to-end problemsintermediate
- design build and evaluate production ML systemsintermediate
- infer a device’s patterns by inference on data like GPS Wi-Fi and accelerometersintermediate
- combining estimation techniques with machine learningintermediate
- test and refine workintermediate
- track metricsintermediate
- iterate for qualityintermediate
Required Qualifications
- 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)
- Data processing: Skilled in working with large, noisy datasets. (experience)
- Experience with libraries like NumPy, pandas, scikit-learn, and PyTorch or TensorFlow. (experience)
- 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. (experience)
- Bachelor’s or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related field. (degree in graduate degree in computer science)
Preferred Qualifications
- Machine Learning algorithms: Strong grasp of supervised/unsupervised learning, regression, classification, clustering, and model evaluation techniques. (experience)
- Having worked as an ML practitioner in an industrial setting (experience)
- Laser focus on customer impact and product experience. (experience)
- Some professional background in location and/or other wireless sensing technologies, including for example, GPS/GNSS, WiFi, indoor localization, and/or discrete localization. (experience)
- 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. (degree in writing)
- You can innovate within tight memory, CPU, and schedule constraints, and deliver on time. These constraints motivate you, and ignite your creativity. (experience)
Responsibilities
- 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.
Tags & Categories
Software Engineer, Applied ML
Apple
Software Engineer, Applied ML
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. 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. 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.
Locations
- Cupertino, California, United States 95014
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- experience linking users and devices to points of interest on a mapintermediate
- ML practitionerintermediate
- delivering rich contextual intelligenceintermediate
- identifying behavioral patternsintermediate
- collaborating closely with teamsintermediate
- take ownership of complex end-to-end problemsintermediate
- design build and evaluate production ML systemsintermediate
- infer a device’s patterns by inference on data like GPS Wi-Fi and accelerometersintermediate
- combining estimation techniques with machine learningintermediate
- test and refine workintermediate
- track metricsintermediate
- iterate for qualityintermediate
Required Qualifications
- 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)
- Data processing: Skilled in working with large, noisy datasets. (experience)
- Experience with libraries like NumPy, pandas, scikit-learn, and PyTorch or TensorFlow. (experience)
- 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. (experience)
- Bachelor’s or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related field. (degree in graduate degree in computer science)
Preferred Qualifications
- Machine Learning algorithms: Strong grasp of supervised/unsupervised learning, regression, classification, clustering, and model evaluation techniques. (experience)
- Having worked as an ML practitioner in an industrial setting (experience)
- Laser focus on customer impact and product experience. (experience)
- Some professional background in location and/or other wireless sensing technologies, including for example, GPS/GNSS, WiFi, indoor localization, and/or discrete localization. (experience)
- 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. (degree in writing)
- You can innovate within tight memory, CPU, and schedule constraints, and deliver on time. These constraints motivate you, and ignite your creativity. (experience)
Responsibilities
- 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.
Tags & Categories