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Wireless Systems Engineer
2 months ago
Overview:
Position Number:
Imagine the possibilities at Apple. Here, innovative concepts rapidly evolve into exceptional products, services, and user experiences.
Bring your enthusiasm and commitment to your role, and the potential for achievement is limitless. Help us shape the design of pioneering AI/ML-based wireless technologies.
Are you passionate about tackling unsolved challenges? As part of our vibrant R&D team, you will have the unique and fulfilling chance to develop cutting-edge wireless technology that significantly influences future Apple products and captivates millions of customers worldwide.
The integration of wireless and AI/ML technologies is essential to all Apple devices that enhance user satisfaction. Our unit is dedicated to researching and advancing AI/ML-driven cellular wireless technology for our offerings. We seek skilled and highly motivated machine learning engineers.Your responsibilities will include defining system-level concepts, proposing and investigating innovative ideas and algorithms, conducting complex system simulations, and developing rapid prototyping platforms to validate your concepts for current and future (5G/6G) cellular systems grounded in robust AI/ML principles.
Key Responsibilities:Engage in state-of-the-art research in machine intelligence and machine learning applications.
Contribute to the design of AI/ML frameworks.
Adopt a top-down methodology for system design, starting from relevant use cases for Apple products, defining problem statements, and arriving at innovative solutions.
Establish large-scale testing and swiftly deploy promising concepts.
From conducting experiments and prototyping implementations to architecting new solutions for real-world, large-scale challenges.
Essential Qualifications:- Proven experience in addressing interdisciplinary challenges through machine learning (ML).
- Publications in prestigious machine learning conferences/journals such as JMLR, ICLR, NeurIPS, ICML, ACL, CVPR.
- Proficiency in Algorithms, Optimization, Probability, Statistics, and Information Theory.
- Experience in one or more of the following research areas:
Neural Networks:
Deep Reinforcement Learning, Federated Learning, Transformer, Transfer Learning, Online Learning, Generative Neural Network, Graph Neural Network, CNN, RNN, etc.
- Demonstrated history of innovation in AI/ML.
- Programming experience in Python, MATLAB.
- Strong analytical and problem-solving skills with clarity of thought.
- Ability to work effectively both independently and collaboratively.
- Excellent communication and presentation abilities.
- Familiarity with efficient AI/ML implementation in hardware.
- Good coding practices and code management skills.
Bachelor's degree and over 10 years of relevant experience.
Compensation & Benefits:
At Apple, base salary is one component of our comprehensive compensation package and is determined within a specified range. This allows for growth as you advance in your role.
The base salary range for this position is between $166,600 and $296,300, depending on your skills, qualifications, experience, and location.
Apple employees have the opportunity to become shareholders through participation in Apple's discretionary employee stock programs.Employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount through the Employee Stock Purchase Plan.
Additional Benefits:
Comprehensive medical and dental coverage, retirement benefits, a variety of discounted products and free services, and reimbursement for certain educational expenses related to career advancement at Apple.
This role may also be eligible for discretionary bonuses or commission payments. Learn more about Apple Benefits.Note:
Apple’s benefits, 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 committed to fostering inclusion and diversity.We take proactive measures 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.
Learn more about your EEO rights as an applicant.