AI/ML Machine Learning Engineer
Apple
AI/ML Machine Learning Engineer
Apple
Designs phones, computers and their operating systems
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. In Visual Intelligence Technology team, we work hard to bring the best user experiences powered by Apple Intelligence. We leverage cutting-edge technologies like Visual Search and LLM to empower user-facing features like Visual Look-up and Visual Intelligence in camera and photos. We also advance our technology innovation in Visual Intelligence Technology and Multimodal Foundation Model for longer-term ambitious goals. As part of this team, you will explore how large-scale models can understand and reason about complex visual scenes, design and build large-scale training pipelines, and perform experiments at scales. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific LLMs for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.
MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field 5+ years of experience in machine learning, deep learning, information retrieval, natural language processing or data mining Experience being a tech lead, and has been successfully leading a team to ship software to users Excellent knowledge and good practical skills in designing ML platforms, architectures or algorithms Strong interpersonal skills able to work independently as well as in a team
3+ years of experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch…)
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. In Visual Intelligence Technology team, we work hard to bring the best user experiences powered by Apple Intelligence. We leverage cutting-edge technologies like Visual Search and LLM to empower user-facing features like Visual Look-up and Visual Intelligence in camera and photos. We also advance our technology innovation in Visual Intelligence Technology and Multimodal Foundation Model for longer-term ambitious goals.
Apple designs and sells consumer electronics, from iPhone smartphones and Mac computers to tablets and wearable devices. Its operating systems manage apps and built-in functions for communication and work, while iCloud stores files and synchronizes data across devices. Customers buy additional digital services through subscriptions such as Apple Music and Apple TV, and developers distribute software through the App Store. Apple earns money from hardware sales, subscriptions and digital transactions, selling directly to customers and through retailers and mobile carriers around the world. It was founded in 1976 and has its headquarters in Cupertino, California.
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