[Work From Home] Multimodal Generative Modeling Engineer

Remote Full-time
Propel your career forward by joining our team as a Multimodal Generative Modeling Engineer! This Remote position offers an immediate start for the right candidate. This position requires a strong and diverse skillset in relevant areas to drive success. An attractive remuneration of a competitive salary is on offer for the successful candidate. Â Â Summary
Posted: Dec 9, 2024

Role Number:200533976

Imagine what you could do here! At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you bring passion and dedication to your job? If so, we are looking for individuals like you. Join us in building new groundbreaking experiences in the era of generative AI. You will work on various projects aimed at pushing the boundaries of creativity and innovation within Apple's ecosystem. We are looking for machine learning engineers to work on generative AI models for image/video generation. We are looking for candidates that thrive in tightly collaborative team of self-motivated individuals.

Description

Description
This position requires a highly motivated person who wants to help us advance in the development of generative models for image/video generation. As a video machine learning algorithm engineer in our team, you will be responsible for developing machine learning technologies, implementing and optimizing the solution, and shipping it in the products. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products.

Minimum Qualifications

Minimum Qualifications
• Deep understanding in neural network, strong experience in designing and optimizing networks
• Experience in pioneering generative AI models, including VAE, GAN, and diffusion models
• MS Computer Science or MS Electrical Engineering or equivalent
• Strong programming, debugging and problem solving skills

Key Qualifications

Key Qualifications

Preferred Qualifications

Preferred Qualifications
• Proficiency in machine learning frameworks e.g. PyTorch

Education & Experience

Education & Experience
MS Computer Science or MS Electrical Engineering or equivalent

Additional Requirements

Additional Requirements

Pay & Benefits

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 $135,400 and $250,600, 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.

More
• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apply Job! Your Future Starts HereDon't miss out on this exciting role. We are looking forward to hearing from you. Apply now!

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