Software Engineer - Analytics and Applied ML

Cupertino, California, United States
Software and Services
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Summary

Posted:
Weekly Hours: 40
Role Number:200540516
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. On Device ML powered features you develop improve wireless connectivity performance and enable new wireless applications. Telemetry frameworks you build will enable analytics, diagnostics, product experimentation, and model training.

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
  • Understanding of and passion for data analytics & product quality
  • Experience with scalable & cross layer system design is a plus
  • Experience prototyping and shipping customer facing on-device ML powered features on embedded systems
  • Experience delivering ML powered software features / applications as Software Engineering lead
  • Strong understanding of machine learning fundamentals and NLP & LLM powered software application / features
  • Solid Understanding of model complexity / performance trade-offs for on-device ML
  • Experience building cross-layer telemetry collection frameworks on-device is a plus

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.
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