Apple
AIML - Sr Engineering Program Manager, ML Compute Infrastructure
Apple, San Francisco, California, United States, 94199
Company:
AppleLocation:
San Francisco, CAEmployment Type:
Full TimeDate Posted:
09/11/2024Job Categories:
Computers, Software, Healthcare, Practitioner and Technician, Information Technology, Executive Management, Quality Control, Research & Development, MedicalAIML - Sr Engineering Program Manager, ML Compute InfrastructureSummaryPosted: Aug 8, 2024Role Number:
200562356Apple is where individual imaginations gather together, committing to the values that lead to great work. The AIML team at Apple is building the next generation of Machine Learning models, and we are looking for people like you to come build Apple Intelligence with us! The Machine Learning Platform & Technology (MLPT) team in the AIML organization is seeking a Senior Engineering Program Manager for its ML Compute Platform. This platform provides services to all internal Apple developers focused on providing efficient and scalable compute and processing for machine learning lifecycle from model experimentation to deployment for the features across the entire Apple consumer ecosystem.Description- As a key EPM of the AIML team, you will be responsible for establishing cross-functional partnerships with all of Apple’s ML partners understanding their use cases and improve the ease of use of the compute services.- You will collaborate with the Apple’s AIML engineering teams to define a partnership strategy across the entire ML ecosystem including 3rd party public cloud, Apple’s internal cloud, silicon vendors, and OSS providers to enable Apple Intelligence.- We work with best in class engineering teams and developers across Apple to design the most efficient technologies to accelerate the ML lifecycle.- You will be the trusted advisor to our customers to deeply understand their needs and help deliver low cost, high performance solutions that meet their use cases and business outcomes.- Translate the product requirements to technical use cases helping to see around corners enabling risk mitigation for engineering execution through creating partnership roadmap for delivery.- You will define new computing modalities using resources native to the cloud and take that vision to market in collaboration with internal and external partners.5+ years of Product and/or technical program management experience covering some or as many of the following areas as possible: distributed computing, large scale cloud infrastructure, GPU/TPU usage for ML training, software and computing architectures, container stack, and networking.Experience in working with large scale GPU based AI applications, like Natural Language Processing and Recommendation, for training and inference or direct experience in building or managing cloud computing infrastructure and technologies.Proficiency in multitasking and leading sophisticated programs with cross functional teams with a track record in developing and bringing outstanding platforms to market.Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage, prioritize, and lead cross-functional teams under pressure.Preferred Qualifications
5+ years of work experience in Product/Program and/or solutions architecture or developer rolesMS/PhD in EE, CS, Math, or Physics or equivalent work experienceHighly developed drive to improve how things work, with a proven track record of driving dramatic improvements for team quality, performance, agility, or effectiveness.Demonstrated ability to define product vision, strategy, and roadmap along with the ability to deliver and executeStrong desire to learn, skills for problem solving, and the ability to make sophisticated trade-offs.Experience driving technical partnerships with internal and external cloud, software partnersKnowledge of computer systems and cloud infrastructure architectureFamiliarity with AI frameworks (e.g. Tensorflow, Pytorch or MxNet) and/or GPU development experienceExcellent interpersonal skills including ability to explain sophisticated technical topics to non-expertsPay & BenefitsAt 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 $165,500 and $293,800, 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. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses - including tuition.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.
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AppleLocation:
San Francisco, CAEmployment Type:
Full TimeDate Posted:
09/11/2024Job Categories:
Computers, Software, Healthcare, Practitioner and Technician, Information Technology, Executive Management, Quality Control, Research & Development, MedicalAIML - Sr Engineering Program Manager, ML Compute InfrastructureSummaryPosted: Aug 8, 2024Role Number:
200562356Apple is where individual imaginations gather together, committing to the values that lead to great work. The AIML team at Apple is building the next generation of Machine Learning models, and we are looking for people like you to come build Apple Intelligence with us! The Machine Learning Platform & Technology (MLPT) team in the AIML organization is seeking a Senior Engineering Program Manager for its ML Compute Platform. This platform provides services to all internal Apple developers focused on providing efficient and scalable compute and processing for machine learning lifecycle from model experimentation to deployment for the features across the entire Apple consumer ecosystem.Description- As a key EPM of the AIML team, you will be responsible for establishing cross-functional partnerships with all of Apple’s ML partners understanding their use cases and improve the ease of use of the compute services.- You will collaborate with the Apple’s AIML engineering teams to define a partnership strategy across the entire ML ecosystem including 3rd party public cloud, Apple’s internal cloud, silicon vendors, and OSS providers to enable Apple Intelligence.- We work with best in class engineering teams and developers across Apple to design the most efficient technologies to accelerate the ML lifecycle.- You will be the trusted advisor to our customers to deeply understand their needs and help deliver low cost, high performance solutions that meet their use cases and business outcomes.- Translate the product requirements to technical use cases helping to see around corners enabling risk mitigation for engineering execution through creating partnership roadmap for delivery.- You will define new computing modalities using resources native to the cloud and take that vision to market in collaboration with internal and external partners.5+ years of Product and/or technical program management experience covering some or as many of the following areas as possible: distributed computing, large scale cloud infrastructure, GPU/TPU usage for ML training, software and computing architectures, container stack, and networking.Experience in working with large scale GPU based AI applications, like Natural Language Processing and Recommendation, for training and inference or direct experience in building or managing cloud computing infrastructure and technologies.Proficiency in multitasking and leading sophisticated programs with cross functional teams with a track record in developing and bringing outstanding platforms to market.Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage, prioritize, and lead cross-functional teams under pressure.Preferred Qualifications
5+ years of work experience in Product/Program and/or solutions architecture or developer rolesMS/PhD in EE, CS, Math, or Physics or equivalent work experienceHighly developed drive to improve how things work, with a proven track record of driving dramatic improvements for team quality, performance, agility, or effectiveness.Demonstrated ability to define product vision, strategy, and roadmap along with the ability to deliver and executeStrong desire to learn, skills for problem solving, and the ability to make sophisticated trade-offs.Experience driving technical partnerships with internal and external cloud, software partnersKnowledge of computer systems and cloud infrastructure architectureFamiliarity with AI frameworks (e.g. Tensorflow, Pytorch or MxNet) and/or GPU development experienceExcellent interpersonal skills including ability to explain sophisticated technical topics to non-expertsPay & BenefitsAt 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 $165,500 and $293,800, 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. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses - including tuition.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.
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