Apple Inc.
Applied Machine Learning Researcher - Multimodal Foundation Models
Apple Inc., Sunnyvale, California, United States, 94087
Applied Machine Learning Researcher - Multimodal Foundation Models
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. This position requires a highly motivated person who wants to help us bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. You will be responsible for evaluating and adapting emerging research, conducting applied research experiments, and working with engineering teams to transform promising approaches into robust solutions, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products. Minimum Qualifications Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.) Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX Experience with rapid prototyping, reproduction, and validation of research ideas Ability to work in a collaborative environment Ability to communicate the results of analyses in a clear and effective manner BS and a minimum of 3 years relevant industry experience. Preferred Qualifications Master's or PhD, or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field. Track record of translating research into practical applications either through published work or industry experience. Deep expertise in multimodal foundation models, with a focus on practical applications. Strong applied research experience in at least one major area of model development (data curation, pre-training, fine-tuning, alignment, or evaluation), particularly as it applies to multimodal systems. Experience with large-scale training pipelines, including working with large datasets and scaling models across distributed systems. Experience bridging research ideas with production constraints. 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.
#J-18808-Ljbffr
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. This position requires a highly motivated person who wants to help us bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. You will be responsible for evaluating and adapting emerging research, conducting applied research experiments, and working with engineering teams to transform promising approaches into robust solutions, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products. Minimum Qualifications Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.) Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX Experience with rapid prototyping, reproduction, and validation of research ideas Ability to work in a collaborative environment Ability to communicate the results of analyses in a clear and effective manner BS and a minimum of 3 years relevant industry experience. Preferred Qualifications Master's or PhD, or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field. Track record of translating research into practical applications either through published work or industry experience. Deep expertise in multimodal foundation models, with a focus on practical applications. Strong applied research experience in at least one major area of model development (data curation, pre-training, fine-tuning, alignment, or evaluation), particularly as it applies to multimodal systems. Experience with large-scale training pipelines, including working with large datasets and scaling models across distributed systems. Experience bridging research ideas with production constraints. 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.
#J-18808-Ljbffr