Apple, Inc.
AIML - Sr. Machine Learning Engineer - Large Language Models and Generative AI,
Apple, Inc., Cupertino, California, United States, 95014
Summary
Posted: Sep 3, 2024
Role Number:
200566154
Play a part in the next revolution in human-computer interaction. Contribute to the product that is redefining mobile computing through voice interaction. You will help create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. Join the Siri team at Apple! The Siri team is looking for a machine learning engineer to develop and advance intelligent experience on Apple's innovative devices enabling compelling new conversational features for Siri interactions. You should be eager to do hands-on work to improve and build features to enhance overall Siri capabilities.
Description
As a Senior Machine Learning Engineer on the Relevance and Graph Inference Team, you'll join a phenomenal team of hardworking engineers and researchers and will be entrusted with a range of responsibilities. Your tasks will include:Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences.Setting the team's strategic direction, cultivating an environment that encourages innovation and professional growth.Actively engaging in all aspects of model development, from ideation and experimentation to deployment.Collaborating with various teams to develop and implement Machine Learning solutions, ensuring performance optimization and alignment with broader business goals.
Minimum Qualifications
In-depth experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI.Published research in the field of Machine Learning or AI is highly desirable, indicating an ability to not only understand but also contribute to cutting-edge research.Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications.Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models.Proven problem-solving and leadership abilities, with the capacity to steer the team's research and practical applications in a collaborative and fast-paced environment.
Preferred Qualifications
An advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required.Ongoing professional development in Machine Learning and Artificial Intelligence domains is expected.
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 $175,800 and $312,200, 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 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.
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Posted: Sep 3, 2024
Role Number:
200566154
Play a part in the next revolution in human-computer interaction. Contribute to the product that is redefining mobile computing through voice interaction. You will help create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. Join the Siri team at Apple! The Siri team is looking for a machine learning engineer to develop and advance intelligent experience on Apple's innovative devices enabling compelling new conversational features for Siri interactions. You should be eager to do hands-on work to improve and build features to enhance overall Siri capabilities.
Description
As a Senior Machine Learning Engineer on the Relevance and Graph Inference Team, you'll join a phenomenal team of hardworking engineers and researchers and will be entrusted with a range of responsibilities. Your tasks will include:Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences.Setting the team's strategic direction, cultivating an environment that encourages innovation and professional growth.Actively engaging in all aspects of model development, from ideation and experimentation to deployment.Collaborating with various teams to develop and implement Machine Learning solutions, ensuring performance optimization and alignment with broader business goals.
Minimum Qualifications
In-depth experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI.Published research in the field of Machine Learning or AI is highly desirable, indicating an ability to not only understand but also contribute to cutting-edge research.Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications.Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models.Proven problem-solving and leadership abilities, with the capacity to steer the team's research and practical applications in a collaborative and fast-paced environment.
Preferred Qualifications
An advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required.Ongoing professional development in Machine Learning and Artificial Intelligence domains is expected.
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 $175,800 and $312,200, 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 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.
#J-18808-Ljbffr