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Wireless Systems Engineer
2 months ago
Position Overview:
Role Number:
At Apple, we thrive on innovation and creativity, turning fresh ideas into exceptional products and services.
We are seeking a dedicated and passionate individual to contribute to the design of pioneering AI/ML-based wireless systems.
Are you excited by tackling complex challenges? As part of our vibrant R&D team, you will have the unique opportunity to develop next-generation wireless technologies that will significantly influence future Apple products and inspire millions of users worldwide.
AI and ML technologies are integral to all Apple devices, enhancing user experiences. Our team is dedicated to researching and advancing AI/ML-driven cellular wireless technologies for our product lineup. We are in search of highly skilled and self-motivated machine learning engineers.Your responsibilities will include defining system-level concepts, proposing and investigating innovative ideas and algorithms, conducting advanced system simulations, and developing rapid prototyping platforms to validate your concepts for current and future (5G/6G) cellular systems grounded in AI/ML.
Key Responsibilities:• Engage in cutting-edge research in machine intelligence and machine learning applications.
• Contribute to the design of AI/ML frameworks.
• Employ a top-down approach to system design, starting from relevant use cases for Apple products, formulating problem statements, and devising groundbreaking solutions.
• Implement large-scale tests and swiftly deploy promising concepts.
From designing 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 leading machine learning conferences/journals such as JMLR, ICLR, NeurIPS, ICML, ACL, CVPR.
• Strong foundation in Algorithms, Optimization, Probability, Statistics, and Information Theory.
• Experience in one or more of the following research areas in
Neural Networks:
Deep Reinforcement Learning, Federated Learning, Transformer models, Transfer Learning, Online Learning, Generative Neural Networks, Graph Neural Networks, CNN, RNN, etc.
• Demonstrated history of innovation in AI/ML.• Proficiency in programming languages such as Python and 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 implementations in hardware.
• Good coding practices and code management skills.Education & Experience:
• Bachelor’s degree with 10+ years of relevant experience.
Compensation & Benefits:
At Apple, base salary is just one component of our comprehensive compensation package, which is determined within a range. This structure allows for growth and development within your role.
The base salary range for this position is between $166,600 and $296,300, with actual pay depending on skills, qualifications, experience, and location.
Apple employees have the opportunity to become shareholders through participation in Apple’s discretionary employee stock programs.Employees may also be 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.
• Discounts on products and free services.
• Reimbursement for educational expenses related to career advancement, including tuition.
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 affirmative action to ensure equal opportunity for all applicants, regardless of 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.