Software Engineer - Analytics and Applied ML
Location
Cupertino, CA | United States
Job description
Join our Wireless Technologies and Ecosystems (WTE) organization to be part of an outstanding team of engineers passionate about driving innovation and enriching experiences for millions of customers worldwide. Wireless Software team is looking for an exceptional software engineer to enable / deploy ML experiences and develop sophisticate telemetry frameworks for wireless products. ML powered features & analytics frameworks you build enable analytics, diagnostics, product experimentation, modem performance & usage characterization and anomaly identification / mitigation techniques to track, analyze and improve wireless experience of Apple products.
Key Qualifications
- 5+ years of professional software engineering experience, ideally working on Applied Machine Learning
- Strong object-oriented programming experience in C++, Objective C or Swift
- Strong understanding of machine learning fundamentals
- Understanding of and passion for data analytics & product quality
- Experience prototyping and shipping customer facing features on embedded systems
- Experience with scalable & cross layer system design is a plus
- Experience delivering ML powered software features / applications
Description
Design and deploy ML applications for optimized wireless experience on iOS products. Build scalable solutions to spark the potential of telemetry for data mining and anomaly & trend detection algorithms. Develop on device and crowd sourced learning frameworks to improve Wireless product experience. Deploy and maintain Machine Learning models on-device using tools like Core ML needed for cellular features. Use cellular product experimentation and A/B testing frameworks to validate machine learning model deployments. Design and develop Analytics module running on iOS that aggregates and correlates information across the cellular software stack.
Education & Experience
M.S / PHD in Computer/Electrical Engineering, Computer Science or equivalent
Additional Requirements
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 $138,900.00 and $256,500.00, 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 take affirmative action to ensure 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.
Design and deploy ML applications for optimized wireless experience on iOS products. Build scalable solutions to spark the potential of telemetry for data mining and anomaly & trend detection algorithms. Develop on device and crowd sourced learning frameworks to improve Wireless product experience. Deploy and maintain Machine Learning models on-device using tools like Core ML needed for cellular features. Use cellular product experimentation and A/B testing frameworks to validate machine learning model deployments. Design and develop Analytics module running on iOS that aggregates and correlates information across the cellular software stack.
M.S / PHD in Computer/Electrical Engineering, Computer Science or equivalent
Job tags
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