Apple · 1 day ago
Sr. Machine Learning Engineer, Apple Services Engineering
Seattle, Washington, United States
Full-time
Onsite
Senior Level, Lead/Staff
$201K/yr - $302K/yr
5+ years expApple is a leading technology company, and they are seeking a Staff Machine Learning Engineer to strengthen their diffusion and video models. The role involves leading fine-tuning efforts, designing data workflows, and collaborating with various teams to enhance multimodal experiences.
AppsArtificial Intelligence (AI)BroadcastingConsumer ElectronicsDigital EntertainmentMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Lead fine-tuning and adaptation of diffusion and emerging video models, as well as post-training of small and medium LLMs for captioning, moderation, and retrieval-friendly descriptions
Design data and evaluation workflows that use our large archive of weakly labeled music, podcast, film, TV, and short-form content to drive measurable quality and efficiency improvements
Collaborate closely with partner infra teams for model serving and with adjacent product and research groups to bring new capabilities into production
Qualification
Required
Master's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience
5+ years of hands-on industry experience building and shipping machine learning systems to production
Proven experience training and fine-tuning diffusion or other image/video generative models, including adapter-based methods such as LoRA
Proficiency in Python and at least one major deep learning framework such as PyTorch
Experience designing and operating ML pipelines for noisy or weakly labeled data, including offline evaluation and monitoring in production
Strong software engineering skills, including code quality, experimentation discipline, and debugging/profiling of model performance
Preferred
PhD in Computer Science, Machine Learning, or a related technical field
8+ years of industry experience with production multimodal systems spanning image, audio, and/or video
Deep expertise with diffusion and video generation techniques (e.g., ControlNet/IP-Adapter, temporal consistency methods, sampling and latency optimization)
Experience with PEFT/QLoRA and post-training approaches such as DPO or related preference-based methods for small and mid-sized LLMs
Background in ASR/VAD/diarization, OCR, multimodal retrieval, or face recognition with fine-grained temporal alignment
Familiarity collaborating with infra/platform teams on model serving (e.g., batching strategies, quantization, observability) and translating requirements into reliable production deployments
Demonstrated ability to define metrics, build evaluation harnesses, and communicate results clearly to cross-functional partners
Track record of publications, patents, or open-source contributions in relevant areas of machine learning or multimodal modeling
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.
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
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2025-12-01
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Mac Daily News
2025-09-25
Company data provided by crunchbase