Machine Learning Software Engineer

Responsibilities

• Build and support high-performance, scalable enterprise platforms for Search, Knowledge Graph, and ML/inferencing systems
• Ensure high availability, optimal performance, and minimal latency for high-throughput applications
• Develop and manage diverse workloads across ML, Knowledge Graph, and Inference platforms
• Explore and implement latest open-source technologies and innovative solutions to elevate customer experience
• Collaborate across multifaceted technical and business teams to deliver robust enterprise solutions

Requirements

• Bachelor’s Degree in Computer Science, Information Technology, or equivalent
• 8+ years of professional software engineering experience
• Programming expertise in Java
• Hands-on experience with Solr, OpenSearch, or relevance tuning of Search results
• Experience in Information Retrieval or Generative AI (GenAI)
• Proven ability to design scalable, highly available distributed systems for high data volumes
• Strong understanding of data structures, algorithms, concurrency, and multi-threading

Preferred Qualifications

• Exposure to data processing and model training or fine-tuning methodologies
• Experience with JVM performance tuning
• Experience with Big Data processing systems
• Meaningful contributions to Open Source Software

About the Company

Apple's Applied Machine Learning team accelerates digital transformation through machine learning across Apple's enterprise ecosystem. We provide a comprehensive suite of ML platforms, solutions, and services to drive efficiency and innovation at Apple scale.