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Apple Machine Learning Tools Engineer Global Siri United States, West Virginia 454227473
Today
- Proven experience developing, shipping, and measuring industry-scale machine learning-based software systems; experience working on large-scale LLM or NLU systems.
- Expertise and experience in LLMs or other foundation models, ideally demonstrated through publications or shipping tools, foundation model-based features, and products.
- Excellent software engineering skills: Proficiency in at least one object-oriented language (e.g. Java, C++, Objective-C, or Swift), scripting languages (e.g. Python, Ruby, bash), and deep learning/machine learning frameworks (e.g. TensorFlow, PyTorch, or CoreML)
- Outstanding problem solving, critical thinking, creativity, organizational, design, and interpersonal skills; ability to work with all levels of engineers, scientists, designers, and communicate effectively with management, leadership, and cross-functional partners
- Experience in data science and analytics, including data annotation, statistical analyses, A/B testing, and/or conducting experiments and investigations in large-scale usage data environments
- Self-starter with the ability to balance multiple projects
- Experience in the iOS development ecosystem (e.g. Swift, Objective-C, CoreML, or SiriKit)
- Experience in localization, internationalization, machine translation, or language technologies is a great plus
- Master's or PhD degree in computer science, software engineering, machine learning, language technologies, or related fields; outstanding candidates with Bachelor's degrees or equivalent experience and multiple years of significant engineering/product experience will also be considered
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