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An established industry player is seeking a talented Multimodal Generative Modeling Research Engineer to join their innovative team. In this exciting role, you will leverage your expertise in machine learning and generative AI to create cutting-edge models that enhance user experiences. You will work collaboratively with cross-functional teams to deploy large-scale models, ensuring they meet the highest standards of quality, privacy, and efficiency. This position offers the chance to impact users worldwide while advancing your career in a dynamic and inclusive environment. If you are passionate about pushing the boundaries of technology, this opportunity is perfect for you.
Multimodal Generative Modeling Research Engineer - SIML, ISE
Seattle, Washington, United States Machine Learning and AI
Summary
Posted: Apr 02, 2025
Weekly Hours: 40
Role Number: 200594275
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 looking for an experienced research engineer in architecting and deploying production scale multimodal ML systems. An ideal candidate has the ability to work with 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.
Description
We are looking for a new team member with a proven 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
Preferred Qualifications
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 $250,600, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.