Machine Learning Architect - LLM & Generative AI (Image/Video)

Key Skills

Aartificial intelligence, Deep Learning, Generative AI, Large Language Models - LLMs, Machine learning techniques, PyTorch

Job Description

In this ML architect role, the key responsibilities include:

Technology Strategy & Direction: Define the technical roadmap for improving the quality and performance in LLMs and generative models, ensuring alignment with business objectives.

Technology and Industry Leadership: Lead R&D initiatives in areas such as large-scale model optimization, hardware and software co-design, diffusion models, multi-modal AI, and generative video synthesis. Stay up-to-date with advancements in Generative AI to incorporate emerging technologies into our solutions.

Architecture Design: Develop scalable, efficient architectures for training, optimizing, and deploying large-scale LLMs and generative models.

Innovation and Experimentation: Explore and prototype novel techniques in generative AI, including fine-tuning, reinforcement learning with various of reward strategies, transfer learning, and multimodal alignment.

Collaboration and Mentorship: Partner with rest of Apple teams to transition technology breakthroughs into production grade solutions. Guide and mentor machine learning engineers and researchers to foster technical excellence .

Minimum Qualifications

• Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience
• Proficiency in toolkits like PyTorch or other deep learning frameworks
• 15+ years in machine learning, with at least 2 years of experience in LLMs, diffusion models, or other generative image/video models
• Experience in distributed training, model parallelism, and deployment of large-scale generative models
• Knowledge of techniques such as quantization, distillation, and efficient inference. Experience with deploying large ML models in real world products
• Strong background in conducting experiments, analyzing results, and iterating on model improvements.

Preferred Qualifications

• Experience in multi-modal models (e.g., image, video, audio, or motion modalities)
• Familiarity with emerging technologies such as Mixture of Experts, LoRA, and Retrieval Augmented Generation
• Strong academic track record with publications in top tier conferences (NeurIPS, CVPR, ICLR, etc)

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $197,400 and $360,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.