{"title": "Software Engineer (AI/ML), Enterprise Systems", "summary": "Do you love understanding every detail of how new technologies work? Join the team that serves as Apple\u2019s nerve center, our Information Systems and Technology group. There are countless ways you\u2019ll contribute here, whether you\u2019re coordinating technology needs for product launches, designing music solutions for retail locations, or ensuring the strength of in-store Wi-Fi connections. From Apple Pay to the Apple website to our data centers around the globe, you\u2019ll help design and manage the massive systems that countless employees and customers rely on every day. You\u2019ll also build custom tools for employees, empowering them to solve complex problems on their own. Join our team, and together we\u2019ll explore all the ways to improve how Apple operates, freeing our employees to do what they do best: craft magical experiences for our customers. The Global Business Intelligence team provides data services, analytics, reporting, and data science solutions to Apple\u2019s business groups, including Retail, iTunes, Marketing, AppleCare, Operations, Finance, and Sales. These solutions are built on top of an end-to-end machine learning platform with sophisticated AI capabilities. This position is an extraordinary opportunity for a competent, experienced, and results-oriented Software Engineer (AI/ML) to define and build some of the best-in-class machine learning solutions and tools for Apple.", "description": "As a Software Engineer (AI/ML), you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Apple\u2019s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.", "key_qualifications": "3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management. Experience developing AI/ML systems at scale in production or in high-impact research environments. Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems. Knowledge with the common frameworks and tools such as PyTorch or TensorFlow. Proven experience with transformer models such as BERT, GPT etc., and a proven understanding of their underlying principles is a plus. Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.", "preferred_qualifications": "", "education_experience": "BS in Computer Science or related field or equivalent.", "additional_requirements": "", "pay_benefits": "", "company": "apple"}