Machine Learning Software Engineer

Embark on a transformative journey as a Software Engineer within Apple's Applied Machine Learning Team. You will assume a pivotal role in building and supporting the high-performance, scalable enterprise platforms that underpin our Search, Knowledge Graph, ML and inferencing systems. You shall be entrusted with the stewardship of ensuring unparalleled availability, optimal performance, and minimal latency for our high-throughput applications, thereby directly influencing and elevating the customer experience. Your responsibilities will encompass the development and optimal functioning of diverse workloads across ML/KG/Inference platforms, coupled with the exploration of, and building deep understanding of latest open source technologies and innovative solutions. A proven aptitude for outstanding interpersonal communication, a high degree of accountability and the capacity to collaborate seamlessly across multifaceted business and technical teams are paramount. Minimum Qualifications Bachelor’s Degree in Computer Science, Information Technology or equivalent. Programming expertise in Java & either Information Retrieval or Generative AI Excellent analytical & problem solving skills 8+ years of work experience Proven skills in designing scalable, highly available distributed systems which can handle high data volumes. Strong understanding of software engineering principles and fundamentals including data structures and algorithms. Solid understanding of concurrency and multi-threading, multiple design patterns and debugging and analytical methodologies Hands-on experience on Solr or OpenSearch or with relevance tuning of Search Results. Preferred Qualifications Exposure to Data processing and Model Training or FineTuning methodologies Exposure to Performance tuning JVMs Exposure to BigData processing systems Meaningful Contributions to OpenSource Software