Search Engineer - AI/ML

Role Overview: At Apple, your primary focus will be on maintaining code and functional quality as a key measure of success. As a member of the Applied Machine Learning team within the AI & Data Platforms (AiDP) organization, you will play a crucial role in conceptualizing, designing, implementing, and operating cutting-edge solutions using ML, AI, and NLP techniques. Expect to work on diverse and challenging use cases where modern technologies can address real-world problems effectively. Collaboration with cross-functional teams and contributing to the development of reusable platforms will be a part of your responsibilities. Your hands-on approach and passion for problem-solving will be essential to the team's success. Key Responsibilities: - Conceptualize, design, and implement cutting-edge solutions leveraging ML, AI, and NLP techniques. - Contribute to the development of reusable platforms and streamline the adoption of generative AI across Apple. - Work on diverse and challenging use cases to solve real-world problems efficiently. - Collaborate with cross-functional teams to ensure code and functional quality are maintained at the forefront. - Lead and mentor junior team members, provide technical guidance, and effectively collaborate with multi-functional teams to deliver complex projects. - 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: - Bachelors in Computer Science or equivalent experience. - 3+ years of experience in building and managing big-data platforms and programming experience in Java. - Working experience with search and information retrieval tools like 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. - Ability to create frameworks to deploy platforms in AWS/Azure/GCP. (Note: The additional details of the company were not present in the provided Job Description.) Role Overview: At Apple, your primary focus will be on maintaining code and functional quality as a key measure of success. As a member of the Applied Machine Learning team within the AI & Data Platforms (AiDP) organization, you will play a crucial role in conceptualizing, designing, implementing, and operating cutting-edge solutions using ML, AI, and NLP techniques. Expect to work on diverse and challenging use cases where modern technologies can address real-world problems effectively. Collaboration with cross-functional teams and contributing to the development of reusable platforms will be a part of your responsibilities. Your hands-on approach and passion for problem-solving will be essential to the team's success. Key Responsibilities: - Conceptualize, design, and implement cutting-edge solutions leveraging ML, AI, and NLP techniques. - Contribute to the development of reusable platforms and streamline the adoption of generative AI across Apple. - Work on diverse and challenging use cases to solve real-world problems efficiently. - Collaborate with cross-functional teams to ensure code and functional quality are maintained at the forefront. - Lead and mentor junior team members, provide technical guidance, and effectively collaborate with multi-functional teams to deliver complex projects. - 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: - Bachelors in Computer Science or equivalent experience. - 3+ years of experience in building and managing big-data platforms and programming experience in Java. - Working experience with search and information retrieval tools like 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. - Ability to create frameworks to deploy platforms in AWS/Azure/GCP. (Note: The additional details of the company were not present in the provided Job Description.)