Machine Learning Architect

Summary
The System Intelligence and Machine Learning (SIML) organization at Apple is looking for an experienced and visionary Machine Learning Architect to drive technology direction, shape our machine learning strategy, and lead pioneering Ru0026D efforts. In this role, you will define and guide the development of technologies focusing on improving both the quality and performance of advanced large language models (LLMs) and generative AI models for image and video generation. nnYou will work closely with cross-functional teams, including researchers, engineers, and product leaders, to deliver cutting-edge AI solutions that push the boundaries of generative technologies both on cloud and on edge devices that reach billions of users.

Description
In this ML architect role, the key responsibilities include:nnTechnology Strategy u0026 Direction: Define the technical roadmap for improving the quality and performance in LLMs and generative models, ensuring alignment with business objectives. nnTechnology and Industry Leadership: Lead Ru0026D 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.nnArchitecture Design: Develop scalable, efficient architectures for training, optimizing, and deploying large-scale LLMs and generative models. nnInnovation 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. nnCollaboration 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 nnProficiency in toolkits like PyTorch or other deep learning frameworksnn15+ years in machine learning, with at least 2 years of experience in LLMs, diffusion models, or other generative image/video modelsnnExperience in distributed training, model parallelism, and deployment of large-scale generative modelsnnKnowledge of techniques such as quantization, distillation, and efficient inference. Experience with deploying large ML models in real world productsnnStrong 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)nnFamiliarity with emerging technologies such as Mixture of Experts, LoRA, and Retrieval Augmented GenerationnnStrong 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 $201,300 and $367,400, and your base pay will depend on your skills, qualifications, experience, and location.u003cbru003eu003cbru003eApple 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. u003ca href='' target='_blank' aria-label='Learn more about Apple Benefits (Opens in new window)'u003eLearn more about Apple Benefits.u003cspan class='icon icon-after icon-external' aria-hidden='true'u003eu003c/spanu003eu003c/au003eu003cbru003eu003cbru003eNote: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.u003cbru003e