AI Engineer - Multimodal Intelligence

Apple • Sunnyvale, CA

2d

About The Position

We are seeking highly motivated and skilled engineers to join our Human Intelligence team. The ideal candidates will have strong backgrounds in developing and exploring capabilities of foundation models and agentic AI systems that enable natural, proactive and personalized human interactions. You will be responsible for multimodal LLM development including training, fine-tuning, agentic AI, and reasoning systems. In this role, you will work on cutting-edge research and engineering problems, collaborating across teams and help shape the technical direction of multimodal and agentic AI systems from research to production. You will lead and contribute to the research roadmap for multimodal foundation models, identifying key opportunities for innovation in agentic AI and reasoning capabilities. You will design and implement agentic systems, and large-scale simulation and evaluation frameworks that can transition from research prototypes to production-grade technologies.

Requirements

• Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.
• 3+ years of relevant academic or industry experience in Machine Learning, Computer Vision, or Artificial Intelligence.
• Experience in deep learning with demonstrated work in multimodal systems (e.g. vision, language, video, etc.).
• Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.
• Experience with foundation models (language or multimodal), including training, fine-tuning, and deployment.
• Experience developing, training, and fine-tuning multimodal LLMs.
• Strong foundations in optimization, probability, and linear algebra as applied to machine learning and computer vision.

Nice To Haves

• PhD, or equivalent practical experience, in Computer Science, Machine Learning, Computer Vision, or a related technical field with a focus on AI, machine learning, or computer vision.
• Demonstrated expertise in developing, training, and fine-tuning multimodal LLMs at scale and developing industry scale agentic products.
• Proven track record of technical leadership, including architecting complex ML systems and leading projects from conception to product deployment.
• Experience applying foundation models to build autonomous or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning.
• Strong publication record in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, COLM, etc.
• Experience with large-scale distributed training and model parallelism.
• Strong communication skills and ability to present research findings to both technical and non-technical audiences.

Responsibilities

• Multimodal LLM development including training, fine-tuning, agentic AI, and reasoning systems.
• Work on cutting-edge research and engineering problems.
• Collaborate across teams and help shape the technical direction of multimodal and agentic AI systems from research to production.
• Lead and contribute to the research roadmap for multimodal foundation models.
• Identify key opportunities for innovation in agentic AI and reasoning capabilities.
• Design and implement agentic systems.
• Design and implement large-scale simulation and evaluation frameworks that can transition from research prototypes to production-grade technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior