Senior Applied ML Scientist Generative Video
Apple
Cupertino, California
Posted 2 weeks ago
Qualifications
Education
MS in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
Experience Requirements
Required
4+ years of experience in deep learning for generative models, particularly diffusion-based methods.
4 years of experience
Benefits & Perks
Benefits Package
- Comprehensive medical and dental coverage
- retirement benefits
- a range of discounted products and free services
- reimbursement for certain educational expenses including tuition
Required Skills
Technical Skills
distributed training of large models using PyTorchvideo representationsspatiotemporal modelingneural network optimizationdesigning & training multi-modal DiT-style Transformerslatent diffusionmulti-stage video generation pipelinesdesign & training adapters
Full Job Description
Senior Applied ML Scientist Generative Video
We are looking for a passionate Senior Applied ML Researcher to drive innovation in generative video modeling, with a strong focus on diffusion-based methods and related generative features. In this role, you will research, design, and deploy models at the intersection of machine learning research and real-world product impact. You will collaborate closely with research scientists, engineers, and product teams to find novel applications of generative AI 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.
Description
Design and train state-of-the-art generative video models, primarily based on diffusion, consistency, rectified flow, or related generative frameworks. Explore novel architectures for spatiotemporal modeling (e.g., 3D U-Nets, DiT-style Transformers, hybrid CNN-Transformer models). Conduct experiments on long-range temporal coherence, motion consistency, controllability, and multi-modal conditioning (text, audio, images).
Minimum Qualifications
MS in Computer Science, Machine Learning, or a related field, or equivalent practical experience. 4+ years of experience in deep learning for generative models, particularly diffusion-based methods. Hands-on experience in distributed training of large models using PyTorch (or equivalent frameworks). Solid understanding of video representations, spatiotemporal modeling, and neural network optimization. Experience designing & training multi-modal DiT-style Transformers, latent diffusion, or multi-stage video generation pipelines. Experience design & training adapters. Proven ability as a creative problem solver.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
We are looking for a passionate Senior Applied ML Researcher to drive innovation in generative video modeling, with a strong focus on diffusion-based methods and related generative features. In this role, you will research, design, and deploy models at the intersection of machine learning research and real-world product impact. You will collaborate closely with research scientists, engineers, and product teams to find novel applications of generative AI 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.
Description
Design and train state-of-the-art generative video models, primarily based on diffusion, consistency, rectified flow, or related generative frameworks. Explore novel architectures for spatiotemporal modeling (e.g., 3D U-Nets, DiT-style Transformers, hybrid CNN-Transformer models). Conduct experiments on long-range temporal coherence, motion consistency, controllability, and multi-modal conditioning (text, audio, images).
Minimum Qualifications
MS in Computer Science, Machine Learning, or a related field, or equivalent practical experience. 4+ years of experience in deep learning for generative models, particularly diffusion-based methods. Hands-on experience in distributed training of large models using PyTorch (or equivalent frameworks). Solid understanding of video representations, spatiotemporal modeling, and neural network optimization. Experience designing & training multi-modal DiT-style Transformers, latent diffusion, or multi-stage video generation pipelines. Experience design & training adapters. Proven ability as a creative problem solver.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
How to Apply
$70
/ hour
Apple pays $70 for Cybersecurity Analyst in Cupertino, California, with most salaries ranging from $40 to $123. Pay can vary based on role, experience, and local cost of living.
Median
$70
Low
$40
High
$123
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Figures represent approximate ranges and may vary based on experience, location, and other factors. For the most accurate information, please consult the employer directly. Contact us to suggest updates to this information.





