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Apple Multimodal Generative Modeling Engineer 
United States, California, San Diego 
323519194

18.11.2024
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
  • Deep understanding in neural network, strong experience in designing and optimizing networks
  • Experience in pioneering generative AI models, including VAE, GAN, and diffusion models
  • Proficiency in machine learning frameworks e.g. PyTorch
  • Strong programming, debugging and problem solving skills
  • MS Computer Science or MS Electrical Engineering
Preferred Qualifications
  • Experience in model optimization, e.g. quantization, palletization, for embedded platforms
  • Experience in large scale generative model training
  • Experience in handling and processing large scale datasets
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 $115,700 and $204,000, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • 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.