Applied Machine Learning Engineer, Platform Architecture

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 185,000 - 278,000; Full time

Job summary

Apple Inc. in Cupertino, California seeks an Applied Machine Learning Engineer to turn hardware data into architectural insight for Apple silicon. You will study performance and power across SoC designs, partnering with silicon and OS teams to implement changes on real silicon and guide them to ship.

You join a multidisciplinary team building ML and AI workflows for architectural exploration, spanning time-series telemetry, performance-per-watt optimization, and the full product lifecycle.

Qualifications

• BS in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• Applied ML industry experience deploying complex ML systems in production.
• Experience applying modern ML techniques to large real-world datasets.
• Programming experience in Python and modern DL frameworks.

Responsibilities

• Design and build advanced ML and generative AI workflows to automate workload analysis and SoC architectural exploration.
• Apply modern deep learning and generative AI techniques to large-scale workload data to inform software and hardware improvements.
• Translate insights into concrete hardware and software changes to improve performance and power.
• Partner with hardware, software, and architecture teams to implement changes and ship.

Skills

Applied ML production deployment

Large real-world datasets

Python programming

Deep learning frameworks

ML research to production cycle

Communication and collaboration

Time-series analysis

ML and AI system design

C/C++ modeling understanding

Education

Bachelor's degree in CS/CE/EE or related

MS/PhD with 10+ years experience

Tools

C/C++ modeling infrastructure

Job description

Applied Machine Learning Engineer, Platform Architecture

Cupertino, California, United States Machine Learning and AI

Join the SoC Architecture team building ML and generative AI systems that shape how future Apple silicon is architected and tuned. We're looking for an AI/ML Engineer who can turn complex hardware data into architectural insight. You will apply that expertise to studying and improving the performance and power behavior of modern System-on-Chip designs across the full product lifecycle: ML-driven research to identify what should change in hardware or software, hands-on partnership with silicon and OS teams to implement and bring those changes up on real silicon, and seeing them through to ship. This role is ideal for a hands-on ML engineer who is energized by both research and shipping product, and who thrives at the intersection of large-scale data, system architecture, and ML.

Description

You will join a multidisciplinary team of ML, software, and architecture engineers building systems that drive architectural exploration and tuning for current and future Apple SoCs. The work targets the full performance-power tradeoff space across fabric, memory subsystem, system caches, dynamic voltage and frequency state control, clock and power gating policies, sleep state controls, and bottleneck prevention.

Responsibilities

• Design and build advanced ML and generative AI workflows to automate workload analysis and SoC architectural exploration.
• Apply modern deep learning and generative AI techniques to large-scale workload data, including the time-series telemetry that is central to this work, to inform software and hardware architectural improvements.
• Translate insights into concrete hardware and software changes that improve performance, power, and performance per watt.
• Partner with hardware, software, and architecture teams across Apple to implement those changes, validate them on real silicon, and see them through to shipping product.

Minimum Qualifications

• B.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Applied ML industry experience deploying complex ML systems in production.
• Experience applying modern ML techniques to large real-world datasets.
• Programming experience in Python and experience in modern deep learning frameworks.

Preferred Qualifications

• Working knowledge of SoC compute, memory, and power-management subsystems, how real workloads exercise them, and the C/C++ modeling infrastructure typical of SoC environments.
• Depth in time-series analysis, including feature engineering on streaming telemetry.
• Experience applying ML beyond prediction, including driving decisions, optimizing policies, and efficiently searching large configuration spaces.
• Track record of training large-scale models across distributed clusters.
• Experience building stateful, multi-turn agentic frameworks and complex execution flows.
• M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field and 10+ years of relevant experience.
• Track record of moving quickly from hypothesis to result and iterating based on evidence.
• Excellent communication and collaboration skills to work effectively across technical disciplines.

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 $184,700 and $277,600, 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

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