2 jobs for "AIML - Machine Learning Researcher, DMLI- Image/Video Generation"

AIML - Machine Learning Researcher, DMLI- Image/Video Generation

At Apple - Santa Clara

Posted on Oct 15

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AIML - Machine Learning Researcher, DMLI- Image/Video Generation

At Apple - Santa Clara

Posted on Oct 15

View job Apply on company site

Apple

AIML - Machine Learning Researcher, DMLI- Image/Video Generation

Santa Clara, CA$142,300 – $263,300Posted 24 days ago

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We are hiring a researcher with a strong technical background in Image/Video generation and editing, as well as Multimodal Foundation Models. You will play a critical role in the research and development of multimodal foundation models for image/video/3D generation, editing, animation, and many more. As a member of the team, you will have the opportunity to develop fundamental model capabilities, collaborate with team members with diverse backgrounds to work on ambitious projects, and collaborate broadly across Apple with world-class engineers and researchers to advance our products and delight millions of users.

Description

As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, computer vision/graphics experience, and solid engineering skills in creating outstanding model capabilities and product features. This role will have the following responsibilities:

- Developing, fine-tuning, and evaluating foundational image generation and image editing models, as well as unified multimodal foundation models capable of both visual understanding and generation.

- Developing, fine-tuning, and evaluating domain-specific image generation and editing models for various tasks and applications in Apple's AI-powered products.

- Conducting innovative research and transferring pioneering research in generative AI to production-ready technologies.

- Understanding product requirements, translating them into modeling tasks and engineering tasks.

Preferred Qualifications

Experience in developing state-of-the-art image generation/editing models.

Good interpersonal skills and team player.

Minimum Qualifications

PhD, MS or equivalent experience

Experience in machine learning, deep learning and statistical modeling.

Experience in developing models for computer vision tasks, such as object detection, visual question answering.

Experience in image generation models, such as VAE, GAN, and diffusion models

Proficiency in one of the following deep learning frameworks: PyTorch, Jax, Tensorflow

Proficiency in one of following languages: Python, Go, Java, C++

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 $142,300 and $263,300, 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. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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