Software Engineer- Search & AI

Role Overview: You will be part of the Applied Machine Learning team at Apple, where you will play a crucial role in conceptualizing, designing, implementing, and running cutting-edge solutions using ML, AI, and NLP techniques. Your work will involve contributing to building reusable platforms and working on cross-functional projects with challenging use cases. Key Responsibilities: - Craft and develop high-quality enterprise software solutions - Build and manage big-data platforms with programming experience in Java - Utilize search and information retrieval tools such as Lucene, Solr, Elasticsearch, Milvus, Vespa - Scale distributed ML and AI systems to handle millions of concurrent requests - Apply ML applications in cross-domain contexts - Work with public cloud platforms like AWS/GCP - Understand the AI/ML stack including GPUs, MLFlow, LLM models - Demonstrate knowledge of data modeling, data warehousing, and ETL concepts - Create frameworks to deploy platforms in AWS/Azure/GCP - Lead and mentor junior team members, provide technical guidance, and collaborate effectively with multi-functional teams - Stay updated with the latest advancements in machine learning and data science, and be willing to learn new tools and technologies as needed Qualifications Required: - Bachelor's in Computer Science or equivalent experience - 7+ years of experience in building and managing big-data platforms, with programming experience in Java - Working experience with search and information retrieval tools such as Lucene, Solr, Elasticsearch, Milvus, Vespa - Experience scaling distributed ML and AI systems to handle millions of concurrent requests - Experience with ML applications in cross-domain contexts - Experience with public cloud platforms like AWS/GCP - Good understanding of AI/ML stack including GPUs, MLFlow, LLM models - Understanding of data modeling, data warehousing, and ETL concepts - Experience in creating frameworks to deploy platforms in AWS/Azure/GCP - Ability to lead and mentor junior team members, provide technical guidance, and collaborate effectively with multi-functional teams - Commitment to staying updated with the latest advancements in machine learning and data science, and willingness to learn new tools and technologies as needed Additional Details: Omit this section as no additional details of the company are provided in the job description.,