AIML - Machine Learning Researcher, Data and ML Innovation
The AIML Multimodal Foundation Model Team is pioneering next-generation intelligent agent technologies that combine multimodal reasoning, tool-use, and visual understanding. Our innovative features redefine how hundreds of millions of people utilize their computers and mobile devices for search and information retrieval. Our universal search engine powers search capabilities across a range of Apple products, including Siri, Spotlight, Safari, Messages, and Lookup. Additionally, we develop cutting-edge generative AI technologies based on multimodal large language models to enable innovative features in both Apple's devices and cloud-based services. As a member of this team, you will design new architectures for multimodal agents, explore advanced training paradigms, and build robust agentic capabilities such as planning, grounding, tool-use, and autonomous task execution. You will collaborate closely with researchers and engineers to bring cutting-edge agent research into production, transforming Apple devices into intelligent partners that help users get things done.
Description
As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, computer vision, multimodal LLM, and agent training experience and solid engineering skills.
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This role will have the following responsibilities:
- Developing state-of-the-art multimodal foundation models for Apple Intelligence.
- Developing various agent capabilities for multimodal LLMs, including computer use agents, visual tool use, thinking with images, and multimodal web search.
- Developing, fine-tuning, and evaluating domain specific foundation models for various tasks and applications in Apple's AI powered products
- Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
- Understanding product requirements, translate them into modeling tasks and engineering tasks
Preferred Qualifications
Excellent data analytical skills
Good interpersonal skills and team player
PhD preferred
Minimum Qualifications
PhD, MS or equivalent experience
Experience in machine learning, deep learning, computer vision, or natural language processing
Proficiency in one of following languages: Python, Go, Java, C++
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant .
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 $171,600 and $302,200, 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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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