CDA Machine Learning Engineer

Key Skills

Apache Kafka, C++, Linux Operating system, Natural Language Processing (NLP), Python Programming, PyTorch, TensorFlow

Job Description

People here at Apple don't just build products; we craft the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that encourage the innovation that runs through everything we do, from extraordinary technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

At Apple, new insights have a way of becoming phenomenal 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 passion for using machine learning to revolutionize people's lives through inventive user experiences.

Join our dynamic Channel Data Applications 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 and apply them to address exciting and interesting business problems head-on.

Key Qualifications

• Profound understanding and hands-on experience in machine learning, deep learning, or reinforcement learning;
• Proficiency in implementing data-intensive pipelines and applications using programming languages such as Python, Java or C++. Familiar with deep learning frameworks such as TensorFlow or PyTorch.
• Strong capability to extract valuable business insights from data and uncover the underlying narratives behind patterns.
• Experienced in working with cross-functional teams to drive the solution of business problems, ideally from end to end.
• Excellent verbal and written communication skills, capable of conveying rigorous technical concepts to non-experts. Strong skills in English is a phenomenal plus.

Description

• Engage with others to see opportunities, comprehend requirements, and translate them into effective technical solutions.
• Devise machine learning strategies, employing established methods or crafting custom algorithms to address specific business challenges.
• Communicate analysis findings to non-technical business partners or executives.
• Research and evaluate new technologies and techniques in machine learning, data science, data engineering, and data visualization to improve the team’s technical capabilities.
• Supervise operational and business metrics, detect adverse trends, recognize behavioral patterns, and respond with agile logic adjustments.

Education & Experience

M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research, Mathematics, Engineering, or a related field with a minimum of 2 years’ experience applying machine learning to tackle real-world business challenges.