Multimodal AI Research Engineer (Vision & Language)

Apple Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Job summary

Apple Inc. in Cupertino, CA is seeking a Machine Learning Research Engineer (SIML - ISE) to advance multimodal perception and reasoning using Vision-Language Models and Multimodal LLMs.

You will collaborate with researchers and engineers to translate product needs into impactful ML solutions for Apple’s ecosystem. The role emphasizes design, experimentation, and evaluation of state-of-the-art models, with a path toward product impact across Apple platforms.

Qualifications

• Masters or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent industry experience.
• Proficiency in Python and deep learning frameworks such as PyTorch or equivalent.
• Experience with training and evaluating neural networks.
• Familiarity with multimodal learning, vision-language models, or large language models.
• Strong problem-solving skills and ability to work in a collaborative, product-focused environment.
• Excellent ability to communicate technical results clearly and concisely.

Responsibilities

• Contribute to development and adaptation of AI/ML models for multimodal perception and reasoning.
• Innovate robust algorithms that integrate visual and language data for comprehensive understanding.
• Collaborate with cross-functional teams to translate product requirements into ML solutions.
• Conduct hands-on experimentation, model training, and performance analysis.
• Communicate research outcomes to technical and non-technical stakeholders, providing actionable insights.
• Stay current with emerging methods in VLMs, MLLMs, and related areas.

Skills

Python

PyTorch

Vision-language models

Multimodal learning

Communication

Collaboration

Education

Master's or Ph.D. in Computer Science/AI/ML

Tools

TensorFlow

Job description

Apple Inc. in Cupertino, CA is seeking a Machine Learning Research Engineer (SIML - ISE) to advance multimodal perception and reasoning using Vision-Language Models and Multimodal LLMs.

You will collaborate with researchers and engineers to translate product needs into impactful ML solutions for Apple’s ecosystem. The role emphasizes design, experimentation, and evaluation of state-of-the-art models, with a path toward product impact across Apple platforms.