Apple
Applied Research Engineer/Scientist
On site · Cupertino, California, United States
Employer posted October 23, 2026
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What the role needs
- Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or related technical field; or equivalent practical experience
- Experience with machine learning through hands-on work in product development, prototyping, or research environments
- Strong programming skills with experience in machine learning development
- Understanding of transformer-based models
- Ability to communicate technical concepts to team members
- Experience with prototyping in ML/AI contexts
- Knowledge of large language models (LLMs) and multi-modal foundation models
- Experience with pre-training, fine-tuning, or performance optimization
- Familiarity with AI systems capable of reasoning and task execution
- Creativity and curiosity about applying AI capabilities to product experiences
- Ability to implement research innovations into practical applications
- Good collaborative skills and effective communication
From the employer
We are seeking an Applied Research Engineer to work on a core team with breakthrough innovation across self-improving systems, agentic memory, and deeply personalized autonomous multi-agent systems. You will help shape next-generation intelligent architectures that learn continuously, retain and reason over persistent memory, coordinate across agents, and translate frontier research into scalable product experiences. This unique opportunity places you at the forefront of innovation, working on projects that redefine user experiences through advanced machine learning. Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or related technical field; or equivalent practical experience Experience with machine learning through hands-on work in product development, prototyping, or research environments Strong programming skills with experience in machine learning development Understanding of transformer-based models Ability to communicate technical concepts to team members Experience with prototyping in ML/AI contexts Knowledge of large language models (LLMs) and multi-modal foundation models Experience with pre-training, fine-tuning, or performance optimization Familiarity with AI systems capable of reasoning and task execution Creativity and curiosity about applying AI capabilities to product experiences Ability to implement research innovations into practical applications Good collaborative skills and effective communication
Availability and requirements can change. Confirm details with the employer before applying.