Senior Multimodal Generative Modeling Research Engineer – SIML, ISE

Summary

Posted:Apr 09, 2025

Weekly Hours:40

Role Number:200597978

Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence. We are part of the Intelligent System Experiences team at Apple and work on the core technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizations, you will have the unique opportunity to advance and ship state-of-the-art technology that impacts Apple users around the world! We are seeking a senior technical leader experienced in architecting and deploying production scale multimodal ML systems. An ideal candidate has the ability to lead diverse cross functional efforts including prototyping, ML modeling, and integration into production workflows. Solid ML fundamentals, experience with applied research, and hands-on knowledge training and adapting image/video/audio/multimodal Generative AI models would be essential for this role. SELECTED REFERENCES TO OUR TEAM’S WORK: – https://machinelearning.apple.com/research/introducing-apple-foundation-models – https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon

Description

We are looking for an experienced candidate with a consistent track record of leading applied ML research. Responsibilities in this role will include creating multimodal Generative AI models that can deliver high quality and enable new capabilities in support of production focussed user experiences. You will do this through distributed training of large scale models involving image/video/audio and research optimizations for deploying efficient models on device. Ensuring high quality in real world use, mitigating bias and preserving privacy are all core tenets. You will be interacting closely and cross-functionally with other ML researchers, software engineers, hardware & design teams.

Minimum Qualifications

• M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience.
• 5+ years of experience training or adapting image / video / audio generation models (eg: SDXL, Flux, etc) for downstream tasks
• Solid proficiency in ML frameworks e.g., PyTorch, Tensorflow
• Strong programming skills in Python / other high level languages

Preferred Qualifications

• Experience with distributed training
• Strong programming skills in C/C++/ObjC

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 $166,600 and $296,300, 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.