Apple · Cupertino

AI Research Scientist

(f/m/d) · 4/30/2025

Description

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. - Collaborate with engineering and map specialists to translate prototypes into scalable systems with highly user-centric UI implementations. - 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

Qualifications

  • 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.

Preferred Qualifications

  • 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.

Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application

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