Apple Inc.
Cupertino, California, United States Software and Services
The Sensing and Connectivity team is committed to developing innovative technology that enhances user safety and makes our devices more intelligent. We are exploring how the incredible sensing, processing, and connectivity of iPhone can be leveraged to detect nearby hazards and deliver timely alerts. We are seeking a data scientist with a strong foundation in statistics, machine learning, and real-time analytics to help design and validate algorithms that operate reliably at a global scale.
Description
In this role, you will develop and evaluate statistical and ML-based algorithms using large-scale, crowdsourced sensor data from heterogeneous mobile and edge devices. You will build simulation and replay pipelines, refine data collection strategies, analyze real-time telemetry, and identify the features and signals that most influence model performance. Responsibilities
You will collaborate closely with hardware and software engineering teams to prototype new ideas, assess their feasibility, and deliver efficient, production-quality code that ships on millions of devices. Minimum Qualifications
Graduate degree in Computer Science, Data Science, or equivalent experience. 5 years of experience in statistical inference and machine learning, PyTorch, TensorFlow 5 years of experience in feature evaluation, model robustness, and algorithm benchmarking 3 years of experience handling noisy, heterogeneous, crowdsourced sensor data 3 years of experience deploying on-device or resource-constrained models Preferred Qualifications
Experience with real-time data systems (Kafka, Spark, Flink) Experience with sensor networks, IoT systems, or mobile sensing Experience with inertial sensing, time series analysis, signal processing, system identification Experience with multi-sensor fusion (accelerometer, gyroscope, barometer, GNSS) 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 $147,400 and $272,100, 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. 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 . Apple accepts applications to this posting on an ongoing basis.
#J-18808-Ljbffr
In this role, you will develop and evaluate statistical and ML-based algorithms using large-scale, crowdsourced sensor data from heterogeneous mobile and edge devices. You will build simulation and replay pipelines, refine data collection strategies, analyze real-time telemetry, and identify the features and signals that most influence model performance. Responsibilities
You will collaborate closely with hardware and software engineering teams to prototype new ideas, assess their feasibility, and deliver efficient, production-quality code that ships on millions of devices. Minimum Qualifications
Graduate degree in Computer Science, Data Science, or equivalent experience. 5 years of experience in statistical inference and machine learning, PyTorch, TensorFlow 5 years of experience in feature evaluation, model robustness, and algorithm benchmarking 3 years of experience handling noisy, heterogeneous, crowdsourced sensor data 3 years of experience deploying on-device or resource-constrained models Preferred Qualifications
Experience with real-time data systems (Kafka, Spark, Flink) Experience with sensor networks, IoT systems, or mobile sensing Experience with inertial sensing, time series analysis, signal processing, system identification Experience with multi-sensor fusion (accelerometer, gyroscope, barometer, GNSS) 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 $147,400 and $272,100, 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. 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 . Apple accepts applications to this posting on an ongoing basis.
#J-18808-Ljbffr