The Special Projects team at Apple is focused on developing innovative experiences using advanced vision-language models that enhance conversational interactions. We are seeking a Machine Learning Engineer who will contribute to building, fine-tuning, and evaluating these systems. The ideal candidate will have hands-on experience with vision-language models and the ability to translate product requirements into measurable criteria. This role offers an exciting opportunity to work at the intersection of multimodal modeling and agentic AI.

• BA or Master's degree in Computer Science or Machine Learning
• 2+ years of hands-on experience building and evaluating generative AI or multimodal models
• Experience working with vision-language models or multimodal systems
• Proficiency in Python and ML frameworks such as Pytorch or Tensorflow
• PhD in Computer Science, Machine Learning, Statistics, or other STEM field
• Prior industry internship or research experience applying ML to product use cases
• Experience with video understanding, temporal reasoning, or activity recognition
• Familiarity with agentic system design including tool use, grounding, or perceive-act loops
• Experience building or working with large-scale multimodal data and annotation pipelines
• Proficiency in training, fine-tuning, and evaluation of foundation models and frameworks
• Publications or technical presentations in Machine Learning journals or conferences
• Excellent communication skills and cross-functional collaboration

• Build and fine-tune vision-language models for conversational interactions.
• Evaluate the performance of multimodal systems against defined criteria.
• Collaborate with team members to translate product requirements into measurable evaluation metrics.
• Contribute to the design and implementation of agentic AI systems.
• Work with large-scale multimodal data and manage annotation pipelines.

• 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.