Apple · 1 month ago
Machine Learning Research Engineer (Human Sensing), SIML - ISE
Seattle, Washington, United States
Full-time
Onsite
Senior Level
$172K/yr - $258K/yrApple is looking for Research Engineers with a strong foundation in Machine Learning and Computer Vision to develop the next generation of multi-modal Human Sensing technologies. You will be responsible for designing and developing cutting-edge AI/ML models for Human Sensing, focusing on building robust cross-domain identity recognition systems.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Designing, implementing, and deploying state-of-the-art visual recognition systems
Building foundation models for facial and full-body perception
Driving data quality excellence through strategic dataset curation, validation, and generation to support world-class model development
Building tools and frameworks for systematic failure analysis, identifying edge cases, and driving continuous model improvement
Directly interacting with all cross-functional stakeholders to gather product requirements and translating these into actionable plans for ML research and development
Effectively communicating results and insights to partners and senior leaders, providing clear and actionable recommendations
Staying current with the latest trends, technologies, and standard methodologies in machine learning, multi-modal foundation models, computer vision and natural language understanding
Actively contributing to Apple's ML community by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners
Qualification
Required
Master's or Ph.D. in Computer Science, Computer Engineering, or related fields; or equivalent professional experience in ML research and development
Proficient in Python, PyTorch or equivalent deep learning frameworks
Proven track record of designing and implementing solutions using modern ML architectures
Background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful software developments
Preferred
Expert-level knowledge of state-of-the-art methods in face recognition or other facial analysis and biometric systems
Hands-on experience training multi-modal large language models
Experience with on-device ML, model optimization, or production ML systems
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
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
Founded in 1976
10001+ employees
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
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Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey 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
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase