Apple Machine Learning Research Internship Computer Vision and LLM Efficiency

Apple is inviting applications for its Computer Vision and Machine Learning Research Internship focused on Large Language Model (LLM) Efficiency in Zurich, Switzerland. The opportunity is designed for doctoral researchers seeking to advance artificial intelligence research, develop innovative machine learning methods and collaborate with leading research scientists and engineers.

The internship focuses on improving the efficiency of frontier machine learning models, including large language models and diffusion models. Successful candidates will contribute to research projects involving model training, inference optimisation, computational efficiency and emerging AI technologies across Apple’s ecosystem.

The position is particularly suitable for PhD candidates in computer science, engineering, data science, applied mathematics or related disciplines who have demonstrated research expertise and published work at leading machine learning conferences.

Organisation:
Apple

Position:
Computer Vision and Machine Learning Research Intern – LLM Efficiency

Research area:
Machine Learning and Artificial Intelligence

Preferred start date:
As early as possible, subject to the stated eligibility requirements.

Final date to receive applications:
Not specified in the supplied announcement.

The research internship offers doctoral candidates an opportunity to participate in advanced machine learning research within Apple’s research and engineering environment.

Interns will contribute throughout the research process, from identifying promising research questions and reviewing existing literature to developing new approaches, implementing prototypes and conducting large-scale experiments.

The work may involve running experiments across multi-node, multi-GPU systems, analysing results, preparing scientific papers and submitting research findings to leading conferences.

The team brings together expertise in computer vision, machine learning, robotics, computer graphics and related fields. Its research contributes to technological developments across Apple’s products and services, with an emphasis on building efficient and effective AI systems.

The internship focuses on improving the performance and efficiency of advanced machine learning models. Areas of interest include:

• Large language model training and inference efficiency.
• Frontier machine learning models and diffusion models.
• On-device machine learning models.
• Contextual sparsity and computational optimisation.
• Model quantisation and compression.
• Efficient deep learning architectures and systems.

Researchers may explore innovative techniques that reduce computational demands while maintaining model performance, enabling more efficient deployment of AI technologies.

Applicants must be working towards a doctoral degree in computer science, engineering, data science, applied mathematics or an equivalent discipline.

Candidates should demonstrate proven research expertise in machine learning and have a publication record in relevant conferences, such as NeurIPS, ICLR, ICML or COLM.

Strong software engineering skills are required, particularly experience working with complex systems involving multiple programming languages. Fluency in Python is also essential.

Apple prefers candidates who can commit to approximately six months. However, the supplied announcement specifies a preferred start no later than March 2026, which predates the posting date of 30 September 2026. Prospective applicants should confirm the current start-date requirements directly with Apple before applying.

Additional qualifications that may strengthen an application include:

• Expertise in machine learning algorithms and…