Software Engineer- Search & AI
Posted May 2, 2026
Key Responsibilities:
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Craft and develop high-quality enterprise software solutions by leveraging your expertise in building and managing big-data platforms. - Lead the design and implementation of solutions using Java programming and search technologies such as Lucene, Solr, Elasticsearch, Milvus, and Vespa. - Scale distributed ML and AI systems to handle millions of concurrent requests, with a focus on cross-domain ML applications and public cloud services like AWS/GCP. - Enhance your understanding of the AI/ML stack, including GPUs, MLFlow, and LLM models, and apply this knowledge to create frameworks for deploying platforms in cloud environments. - Mentor junior team members, provide technical guidance, and collaborate effectively with multi-functional teams to deliver complex projects. - Stay updated with the latest advancements in machine learning and data science, continuously learning new tools and technologies to enhance your skill set. Qualifications Required:
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Bachelor's in Computer Science or equivalent experience. - 7+ years of experience in building and managing big-data platforms with proficiency in Java programming. - Working experience with search and information retrieval technologies (Lucene, Solr, Elasticsearch, Milvus, Vespa). - Experience scaling distributed ML and AI systems, preferably handling millions of concurrent requests. - Familiarity with ML applications in cross-domain contexts and public cloud services (AWS/GCP). - Good understanding of the AI/ML stack, including GPUs, MLFlow, and LLM models. - Knowledge of data modeling, data warehousing, and ETL concepts. - Experience in creating frameworks to deploy platforms in AWS/Azure/GCP. - Ability to lead, mentor, and collaborate effectively with multi-functional teams to deliver complex projects. Role Overview: As a member of the Applied Machine Learning team at Apple, you will play a crucial role in conceptualizing, designing, implementing, and operating cutting-edge solutions using ML, AI, and NLP techniques. Your contributions will be instrumental in developing reusable platforms to address real-world problems through modern technologies. You will work on diverse and challenging use cases, collaborating with cross-functional teams to ensure the highest code and functional quality standards are met. Key Responsibilities: