Senior Applied ML Researcher - Video Apps

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

$181K-$318K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

123% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Applied ML Researcher - Video Apps Cupertino, United States of America We are seeking a Senior Applied ML Researcher to design, train, and deploy state-of-the-art models for visual and audio understanding. You will work on challenging problems at the intersection of computer vision, audio signal processing, and multimodal learning, enabling intelligent systems that can see, hear, and reason about the world. You will collaborate closely with research scientists, engineers, and product teams to find novel applications of Deep Machine Learning capabilities to assist our creative user base. Your mission is to elevate the workflows of millions of creators by combining generative AI with Apple's human-centered design principles. Design and train deep neural networks for video, image, audio, and audio-visual tasks. Build models for audio-visual representation learning, cross-modal alignment, and fusion. Develop solutions for tasks such as: Video understanding and temporal modeling. Audio-visual event detection. Speech, sound, and scene understanding. Multimodal classification, detection, and localization. Minimum Qualifications: MS in Computer Science, Machine Learning, or a related field, or equivalent practical experience 4+ years of experience in deep learning or machine learning engineering strong expertise in deep neural networks and modern training workflows 8 years + Hands-on experience with computer vision and/or audio modeling Proficiency in Python and deep learning frameworks (PyTorch preferred) Solid understanding of linear algebra, probability, and optimization Ability to build intuition from problem statement and translate to dataset requirement, neural network design and loss functions Preferred Qualifications: PhD in computer science, machine learning, or a related field,

Read the full description at jobs.apple.com. FewerJobs shows a preview and links to the original posting.