The Machine Learning Research Engineer role at Apple focuses on multi-modal perception and reasoning within the System Intelligence Machine Learning organization. This position involves working with vision-language models and multi-modal large language models to create intuitive intelligence experiences across Apple products. The team is dedicated to developing cutting-edge machine learning solutions that enhance user-facing features. Candidates will collaborate with experienced researchers and engineers to innovate and evaluate performance in a fast-paced environment.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or relevant industry experience.
• Proficiency in Python and deep learning frameworks such as PyTorch or equivalent.
• Practical 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.
• Ability to communicate technical results clearly and concisely.
• Proven track record of research contributions demonstrated through publications in top-tier conferences and journals.
• Background in multi-modal reasoning, VLM, and MLLM research with impactful software projects.
• Solid understanding of natural language processing (NLP) and computer vision fundamentals.

• Contribute to the 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 closely with cross-functional teams to translate product requirements into effective ML solutions.
• Conduct hands-on experimentation, model training, and performance analysis.
• Communicate research outcomes effectively to technical and non-technical stakeholders, providing actionable insights.
• Stay current with emerging methods in VLMs, MLLMs, and related areas.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.