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Apple AI Research Scientist United States, California, Cupertino 160269036
06.05.2025
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As part of our AI research team, you will research and apply cutting-edge deep learning and generative AI technologies to create next-generation mapping solutions, solving challenging, real-world problems with massive global impact.
In this role, you’ll work on some of the most challenging problems at the intersection of deep learning, computer vision, LLM, Foundation Models, Agentic AI, and geospatial data. You’ll collaborate with a cross-functional team of engineers, ML scientists, and map specialists to build AI systems that understand the world at scale. You Will:- Lead and contribute to applied research projects that push the boundaries of AI applied to geospatial intelligence.- Design and develop advanced machine learning and deep learning models to understand large scale complex geospatial data and perform geospatial reasoning. - Experiment with intelligence systems capable of interpreting and updating maps autonomously. - Stay on top of the latest advancements in AI/ML and contribute to our technical vision and strategy.- Advocate for responsible AI practices ensuring ethical solutions in alignment
- MS with comparable industry experience in computer science, Artificial Intelligence, Machine Learning or related field.
- Strong theoretical and practical background in machine learning, deep learning, and computer vision.
- Proven experience in developing, fine-tuning and deploying LLMs, VLMs, or other Generative AI models.
- Proficiency in Python and deep learning frameworks like PyTorch, TensorFlow, or JAX.
- Demonstrated problem solving skills to translate complex real-world problems into machine learning tasks and develop practical, scalable solutions.
- Strong interpersonal collaboration and communication skills.
- PhD in computer science, Artificial Intelligence, Machine Learning or related field.
- Track record of patents, or publications in top AI/ML or GIS conferences or journals.
- Hands-on experience with processing large datasets, training ML models in distributed environments, and deploying large-scale models in production.
- Familiarity with emerging technologies such as Mixture of Experts (MoE) architectures, AI agents, and Retrieval-Augmented Generation (RAG).
- Understanding of post-training strategies like RLHF, DPO, or equivalent approaches.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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