Artificial Intelligence Technology Leader
7 days ago
Company Overview:
At Apple, we're shaping the future of AI-driven system experiences across our ecosystem. Our team of industry-leading machine learning technologists is dedicated to developing novel ML techniques and applications, building tools and infrastructure, and rapidly iterating on prototypes.
Salary: $200,000 - $320,000 per year, based on location and experience.
About the Role:
We're seeking extraordinary machine learning engineers who are passionate about creating high-performance machine learning models and infrastructure in concert with designers, software/hardware engineers, and applied R&D teams. This role involves designing and deploying large-scale distributed systems, advancing the state of the art in AI-driven products, and collaborating with highly accomplished scientists and engineers.
Key Responsibilities:
Designing high-performance machine learning models and infrastructureCollaborating with cross-functional teams to develop novel ML techniques and applicationsRapidly iterating on prototypes and delivering new product experiencesDeploying large-scale distributed systems and advancing the state of the art in AI-driven productsRequirements:
5+ years industry experience as a Machine Learning Engineer or Software EngineerBS/MS in Computer Science or related fieldAbility to efficiently develop, debug, and support new technologies in a changing environmentPositive and respectful attitude in a diverse environmentBenefits:
As an Apple employee, you'll have access to comprehensive medical and dental coverage, retirement benefits, discounted products and services, and reimbursement for certain educational expenses. You may also be eligible for discretionary bonuses or commission payments, relocation assistance, and participation in Apple's discretionary employee stock programs.
Inclusion and Diversity:
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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