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Apple Inc.
Cupertino, CA, United States
AIML - Generative Foundation Model/LLM Research Scientist, DMLI Play a part in building the next generation of generative AI applications at Apple. We’re looking for Scientists and Researchers to tackle ambitious projects that will impact the future of Apple and our products.In this role, you’ll have the opportunity to work on innovative problem
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Research Scientist, Foundation Model Mountain View, California, United States Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they're going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver-The Worl
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AIML – Machine Learning Engineer/Scientist, Siri and Information Intelligence The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to
Job Source: Apple Inc.Apple Inc.
Cupertino, CA, United States
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Job Source: Apple Inc.Meta
Menlo Park
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Menlo Park, CA, United States
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Job Source: Applied Textiles, Inc.Robert Bosch Group
Sunnyvale, CA, United States
Conduct research on Natural Language Processing (NLP), Large Language Model (LLM) and Foundation Models to address academic and industrial challenges in AI fields. Work with an international team of experts to transfer and apply the Bosch in-house AI innovations and 3rd-party AI solutions to Bosch products and services of AI agents, information ret
Job Source: Robert Bosch GroupCupertino
AIML - Generative Foundation Model/LLM Research Scientist, DMLI
Cupertino,California,United States
Machine Learning and AI
Play a part in building the next generation of generative AI applications at Apple. We’re looking for Scientists and Researchers to tackle ambitious projects that will impact the future of Apple and our products. In this role, you’ll have the opportunity to work on innovative problems in machine learning, particularly focused on LLM's. As a member of the Apple HCMI group, you will be working on Apple's generative models that will power a wide array of new features, as well as longer term research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on safety, robustness, and uncertainty in such models.
**Description**
- Research and advance red teaming methods for LLM's and diffusion models - Research and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple products - Develop tools, metrics, and datasets for assessing and evaluating the safety of LLM's over the model deployment lifecycle, as well as methods and tools to help interpret and explain failures in language models
**Minimum Qualifications**
+ Demonstrated expertise in ML research
+ Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.)
+ Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
+ Deep understanding of NLP and LLM's
+ Ability to formulate a research problem, design, experiment, implement and communicate solutions
+ Ability to work in a diverse collaborative environment
**Key Qualifications**
**Preferred Qualifications**
+ PhD or equivalent practical experience, in Computer Science, or related technical field is helpful
**Education & Experience**
**Additional Requirements**
**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 $199,800 and $300,200, 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 (pple.com/careers/us/benefits.html) 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. (eoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)
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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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Email Alert for AIML - Generative Foundation Model/LLM Research Scientist, DMLI_ jobs in Cupertino
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