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About the Role
The Machine Learning Platform team's mission is to empower Ad Platforms teams to build and scale innovative ML systems that deliver highly optimized advertising content to consumers. You will work closely with engineers and data scientists to design, develop, and build world-class platform capabilities that will enable Ad Platforms teams to improve and scale our ML features, models, and applications.
Responsibilities
- Design and develop secure and scalable back-end systems.
- Build high-performing, elegant systems from the ground up.
- Define and refine architectures to meet unique ad network challenges.
- Build machine learning products that deliver on Apple's privacy commitments.
- Contribute to a culture that emphasizes reliability, simplicity, and scalability.
- Support the growth of engineers through code/design reviews, working groups, and internal knowledge sharing.
- Lead development of foundational AI/ML platforms and tooling including Feature Stores, Vector DB to accelerate team productivity and model lifecycle management.
- Build abstractions, automation tools, and reusable components to streamline ML workflows and reduce operational burden.
Requirements
- Proven track record of designing and operating large-scale, low-latency ML Serving platforms supporting real-time and batch inference.
- Experience with model quantization, tensor parallelism, and inference optimizations (e.g ONNX Runtime, TensorRT, vLLM).
- Actively led evaluation and adoption of such technologies.
- Experience working on distributed systems (e.g Ray, high-throughput RPC systems) to support scalable inference workloads and hybrid online/offline serving patterns.
- Hands-on experience designing and optimizing low-level GPU kernels to maximize hardware utilization, bypass memory bandwidth bottlenecks, and accelerate deep learning primitives.
- Prior experience in advertising industry, federated learning and privacy-preserving ML techniques.
- Recognized as a technical leader and mentor.
- Experience performance tuning & trouble-shooting.
- Passionate about developer experience.
- Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
- Results oriented with a desire to work in a fast-paced and collaborative work environment.
Skills
- Machine Learning
- Software Engineering
- Distributed Systems
- GPU Kernels
- Deep Learning Primitives
- Advertising Industry
- Federated Learning
- Privacy-Preserving ML
- AI/ML Platforms
- Tooling
- Feature Stores
- Vector DB
- Model Lifecycle Management
- Performance Tuning
- Trouble-shooting
- Developer Experience
- Communication Skills
Location
- Apple
Work Type
- Agile environment
Experience Level
- 6+ years of experience in machine learning
Education Level
- PhD, MS, or BS in computer science or a related field
About the Company
- At Apple, we work every day to create products that enrich people’s lives.
- Our Ad Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work.
- Today, our technology and services power advertising in Search Ads, App Store, and Apple News.
- Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.