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Multimodal Generative Modeling Research Engineer - SIML, ISE - Job Opportunity at Apple

Cupertino, United States
Full-time
Senior
Posted: April 20, 2025
On-site
USD 175,800-312,200 per year

Benefits

Comprehensive medical and dental coverage with leading market coverage
Competitive retirement benefits package
Employee stock purchase plan with company discount
Restricted Stock Unit (RSU) awards for long-term equity participation
Educational reimbursement for career advancement
Discretionary performance bonuses
Relocation assistance available
Employee product discounts and free services

Key Responsibilities

Lead architectural design and deployment of production-scale multimodal machine learning systems
Develop and optimize large language models for on-device applications
Drive research and implementation of privacy-preserving personalization algorithms
Ensure model fairness and robustness in production environments
Train and optimize large-scale multimodal vision-language models
Collaborate cross-functionally with ML researchers, software engineers, and hardware teams
Advance multimodal capabilities of language models for visual actions and interactions
Implement distributed training workflows for production ML systems

Requirements

Education

M.S. or PhD in Computer Science or related field (Electrical Engineering, Robotics, Statistics, Applied Mathematics)

Experience

Senior level experience in ML modeling and deployment

Required Skills

Strong programming skills in Python Proficiency in ML toolkits (e.g., PyTorch) Experience with LLM training and adaptation Expertise in NLP and computer vision intersection Distributed training knowledge C/C++ or ObjC programming (preferred)
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Sauge AI Market Intelligence

Industry Trends

The convergence of vision and language models is becoming a critical focus in AI development, with major tech companies investing heavily in multimodal systems for next-generation user experiences On-device AI processing is gaining prominence as privacy concerns and real-time performance requirements drive technology development The shift towards large language models is creating new paradigms in human-computer interaction, particularly in creative and assistive applications

Salary Evaluation

The offered salary range of USD 175,800-312,200 is highly competitive for senior ML roles in Silicon Valley, reflecting the specialized nature of multimodal AI expertise and Apple's market position

Role Significance

Likely part of a specialized team of 5-8 ML researchers and engineers, working within the larger ISE organization
Senior technical leadership position with significant influence on Apple's core AI technologies and user experiences

Key Projects

Development of next-generation creative AI tools like Image Playground and Genmoji Implementation of privacy-preserving personalization systems Architecture of multimodal AI systems for Apple's ecosystem Optimization of large language models for mobile devices

Success Factors

Deep expertise in both theoretical ML concepts and practical implementation challenges Ability to balance research innovation with production requirements Strong cross-functional collaboration skills Understanding of privacy-preserving ML techniques Experience with large-scale distributed systems

Market Demand

Extremely high demand with limited talent pool due to the specialized intersection of vision, language, and on-device optimization expertise

Important Skills

Critical Skills

Multimodal ML expertise is essential for developing next-generation AI interfaces Distributed training experience crucial for handling large-scale model development Privacy-preserving ML knowledge critical for Apple's privacy-first approach

Beneficial Skills

Hardware optimization knowledge for on-device AI Experience with creative AI applications Understanding of human-computer interaction principles

Unique Aspects

Rare opportunity to work on AI systems that directly impact billions of users
Focus on privacy-preserving AI is distinctive in the industry
Combination of research innovation and product implementation
Access to Apple's unique hardware optimization capabilities

Career Growth

2-4 years typical progression timeline based on impact and innovation contributions

Potential Next Roles

Principal Machine Learning Engineer Technical Director - AI Research Chief AI Architect Distinguished Engineer

Company Overview

Apple

Apple's Intelligence System Experience team leads development of AI technologies that power core user experiences across Apple's ecosystem

Industry leader in on-device AI and privacy-preserving machine learning
Silicon Valley headquarters with global impact through Apple's device ecosystem
Innovation-driven environment with high emphasis on product impact and user experience
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