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Apple Senior Machine Learning Engineer Commerce Growth Intelligence United States, California, San Francisco 817703537
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Key Responsibilities- Inference Service Development: Design, develop, and deploy high-performance machine learning inference services with a focus on scalability and efficiency.- Big Data Pipeline Engineering: Build and maintain data processing pipelines to support model training and tuning across large datasets.- Model Training Pipeline Optimization: Manage and optimize machine learning training pipelines to improve performance in distributed computing environments.
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Systems, or Electronic Engineering
- 6+ years of work experience in the machine learning engineering space
- Proven experience building large-scale event processing systems; a deep understanding of JVM technologies is a plus.
- Hands-on experience with on-device machine learning solutions; familiarity with iOS ecosystems (CoreML, Swift SDK) is advantageous.
- Expertise in large-volume big data processing (batch or streaming); experience with Apache and Apache Flink using Scala is a plus.
- Familiarity with training and optimizing machine learning models (e.g., XGBoost, PyTorch, LLMs) is beneficial.
- Minimum three years of experience in developing customer-facing machine learning systems is highly desirable.
- Actively engage with product teams to discuss and influence product decisions, using strong communication skills to design cohesive engineering solutions that scale ML products for billions of users and devices.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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