Senior Applied Research Engineer - Multimodal LLMs for Human Interaction jobs in United States
cer-icon
Apply on Employer Site
company-logo

Apple · 16 hours ago

Senior Applied Research Engineer - Multimodal LLMs for Human Interaction

Apple is a leading technology company known for its innovative products and services. They are seeking a highly motivated and skilled Senior Applied Research Engineer to join the Human Intelligence team, focusing on developing and exploring capabilities of foundation models and agentic AI systems for enhanced human interactions.

AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
check
Comp. & Benefits
check
H1B Sponsor Likelynote

Responsibilities

Lead the research roadmap for multimodal foundation models, identifying key opportunities for innovation in agentic AI and reasoning capabilities
Design and oversee the implementation of agentic systems, and large-scale simulation and evaluation frameworks that can transition from research prototypes to production-grade technologies
Mentor and guide junior researchers and engineers, fostering a culture of technical excellence and innovation within the team
Develop agentic systems with multimodal large language models, focusing on exploring and utilizing diverse data modalities
Create novel algorithms and models to enhance the performance, safety, and reasoning capabilities of our AI systems
Work closely with researchers, data scientists, and software engineers to translate complex research findings into practical, user-facing applications
Maintain deep knowledge of the latest advancements in AI, machine learning, and multimodal agentic systems, and apply this knowledge to drive innovation within the company

Qualification

Machine LearningComputer VisionArtificial IntelligenceMultimodal LLMsPythonTechnical LeadershipGenerative AISelf-Supervised LearningReinforcement LearningAgentic AINLPMultimodal Fusion

Required

10+ years of relevant industry experience in Machine Learning, Computer Vision, or Artificial Intelligence
Demonstrated expertise in developing, training, and fine-tuning multimodal LLMs at scale and developing industry scale agentic products
Proven track record of technical leadership, including architecting complex ML systems and leading projects from conception to product deployment
Expert proficiency in Python and modern software engineering practices
Master of Science in Computer Science, Electrical Engineering, or related field (or equivalent practical experience)

Preferred

PhD in Computer Science, Electrical Engineering, or a related field with a focus on AI, machine learning, or computer vision
Deep expertise in one or more of the following: computer vision, NLP, multimodal fusion, Generative AI, Self-Supervised Learning, Reinforcement Learning, or Agentic AI
Experience applying foundation models to build autonomous or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning
Strong publication record in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, and ECCV
Experience leading major ML initiatives with a proven record of shipping high-impact products to millions of users
Ability to communicate complex technical concepts to executive leadership and cross-functional partners

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation

Company

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

H1B Sponsorship

Apple has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)

Funding

Current Stage
Public Company
Total Funding
$5.67B
Key Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity

Leadership Team

leader-logo
Tim Cook
CEO
leader-logo
Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase