Machine Learning Engineer

Key Skills

Apache Kafka, C++, Chatbot, Large Language Models - LLMs, Natural Language Processing (NLP), Python Programming

Job Description

At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Are you a dedicated problem solver who enjoys exploring solutions beyond the ordinary? Do you excel in situations of uncertainty, finding inspiration in environments that demand creative thinking? We are seeking adept engineers and scientists who share our enthusiasm for leveraging machine learning to revolutionize people's lives through inventive user experiences. Join our dynamic Data Science team within GC Channel Sales and bring your expertise to the forefront. As a valued member of this group, you will harness your profound expertise in machine learning, deep learning, and reinforcement learning to tackle intricate technical challenges head-on

Key Qualifications

• Profound understanding and hands-on experience in machine learning, deep learning, or reinforcement learning; specialization in NLP/LLM/Chatbot is highly desirable.
• Proficiency in implementing data-intensive pipelines and applications using programming languages such as Python, Java or C++.
• Working knowledge of large-scale distributed systems, with a preference for experience in distributed training and real-time inference.
• Excellent verbal and written communication skills in both Mandarin and English, capable of conveying rigorous technical concepts to non-experts
• Ability to extract valuable business insights from data and uncover the underlying narratives behind patterns

Description

• Engage with others to identify opportunities, comprehend requirements, and translate them into effective technical solutions.
• Devise machine learning strategies, employing established methods or creating custom algorithms to address specific business challenges.
• Work closely with data engineers and platform architects to implement resilient real-time and batch decisioning solutions.
• Communicate analysis findings to business partners or executives.
• Research and evaluate emerging technologies and techniques in machine learning, data science, data engineering, and data visualization to enhance the team’s technical capabilities.
• Monitor operational and business metrics, detect adverse trends, recognize behavioral patterns, and respond with agile logic adjustments

Education & Experience

• PhD. in Computer Science, Machine Learning, Statistics, Operations Research, Mathematics, Engineering, or a related field; alternatively,
• MS. in a related field with a minimum of 3 years’ experience applying machine learning to solve real-world business challenges.