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Apple, Inc.
Cupertino, CA, United States
Summary Posted: Jun 12, 2024 Role Number: 200547609 We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models
Job Source: Apple, Inc.Apple
Cupertino
AIML - Machine Learning Engineer, Foundation Models Cupertino,California,United States Machine Learning and AI We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, spee
Job Source: AppleXPENG Motors
Santa Clara, CA, United States
XPeng Motors is one of China's leading smart electric vehicle ("EV") companies. We design, develop, manufacture and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers.
Job Source: XPENG MotorsXPENG Motors
Santa Clara, CA, United States
XPeng Motors is one of China's leading smart electric vehicle ("EV") companies. We design, develop, manufacture and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers.
Job Source: XPENG MotorsApple
Cupertino
AIML - Machine Learning Researcher, Foundation Models Cupertino,California,United States Machine Learning and AI We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, sp
Job Source: AppleApple
Cupertino
AIML - Machine Learning Researcher, Foundation Models Cupertino,California,United States Machine Learning and AI We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, sp
Job Source: AppleTikTok
San Jose, CA, United States
Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imagin
Job Source: TikTokApple Inc.
Cupertino, CA, United States
AIML – Machine Learning Engineer or Scientist, Machine Learning Platform & Infrastructure Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.Do you want to make Siri a
Job Source: Apple Inc.Cupertino, CA, United States
AIML - Machine Learning Engineer, Foundation Models We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products.We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.
Description
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge.Example applications include (but are not limited to)- Web-scale information retrieval- Human-like conversation agent- Multi-modal perception for existing products and future hardware platforms- On-device intelligence and learning with strong privacy protectionsFurther, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, but also improve the experience of millions of users.
Key Qualifications
Proven track record in training or deployment of large models or building large-scale distributed systems.
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow.
Ability to work in a collaborative environment.
Education & Experience PhD, or equivalent practical experience, in Computer Science, or related technical field.
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 $138,900 and $208,300, 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.
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.
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Email Alert for AIML - Machine Learning Engineer, Foundation Models jobs in Cupertino, CA, United States
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