AI/ML Engineer: System RF Data Ecosystem at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Feb, 26

Salary

0.0

Posted On

12 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Generative AI, Python, Data Processing, Software Engineering, ML Frameworks, System Architecture, Performance Optimization, Experiment Design, A/B Testing, Analytical Approaches, Project Leadership, Communication Skills, Large-Scale Systems, Prototyping, Multimodal Models

Industry

Computers and Electronics Manufacturing

Description

At Apple, new ideas quickly transform into products, services, and customer experiences that delight millions. The System RF group designs, characterizes wireless systems across Apple’s flagship products — including iPhone, Watch, iPad, Mac, Audio — ensuring extraordinary wireless performance from prototype to production. Within this organization, the Smart Data Ecosystem team empowers product evolution by building AI/ML-powered analytics that unlock insights from complex wireless manufacturing data. We are seeking a creative, hands-on AI/ML Engineer to help design and deploy intelligent software tools that use the latest in ML and generative AI to solve exciting design and system optimization problems. Join a team at the intersection of hardware, data, and AI — where your work directly influences the performance and experience of Apple products used worldwide. DESCRIPTION You should be passionate about turning complex data into elegant, impactful tools that accelerate innovation and provide an outstanding experience for users. MINIMUM QUALIFICATIONS Strong understanding of core ML algorithms (regression, classification, clustering, anomaly detection) and familiarity with emerging generative AI methods (LLMs, agents, multimodal models). Proficiency with ML frameworks such as PyTorch or TensorFlow. Proven experience bringing ML models from prototype to production, including integration with large-scale design or validation systems. Strong software engineering and data processing skills in Python, including use of libraries such as Pandas, NumPy, SciPy, and Scikit-Learn. Solid foundation in system architecture and performance optimization across multi-language environments. Master’s or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field PREFERRED QUALIFICATIONS Experience designing and analyzing experiments or A/B tests for data-driven decision making. Ability to translate complex engineering and business questions into well-structured analytical approaches. Experience building LLM-based prototypes or AI agents, particularly for multimodal or domain-specific applications. Demonstrated ability to lead projects of varying scope and timelines, balancing depth and speed. Excellent communication skills with the ability to bridge technical and non-technical audiences. 3+ years of relevant work experience in industry or academia.

Responsibilities

Design and deploy intelligent software tools using AI/ML to solve design and system optimization problems. Work at the intersection of hardware, data, and AI to influence the performance of Apple products.