Machine Learning Research Engineer
Core
Designing and developing cutting-edge AI/ML models for multi-modal Human Sensing, focusing on robust cross-domain identity recognition systems to power Apple Intelligence features like personalized search, memories, and image generation.
Role type
Senior IC machine learning research engineer (computer vision)
Builds
Foundation models for facial and full-body perception; efficient real-time visual human sensing pipelines
Domain
Consumer technology / Computer Vision / Multi-modal AI
Deliverable
production ML models
Required skills
Deep learning model training and fine-tuning, dataset curation and validation, failure analysis and edge case identification, cross-functional requirement translation, research dissemination, mentoring
Preferred skills
Face recognition and biometric systems expertise, multi-modal LLMs and vision-language models (VLMs), on-device ML, model optimization (distillation, quantization, pruning)
Technologies
Python, PyTorch
Responsibilities
Designing and implementing state-of-the-art visual recognition systems; Building tools and frameworks for systematic failure analysis; Directly interacting with cross-functional stakeholders to gather product requirements; Staying current with latest trends in multi-modal foundation models and natural language understanding
Seniority
Senior, hands-on IC
