Apple
AIML - Sr. Full Stack Engineer, Compute Capacity and Efficiency - ML Platform Te
Apple, Santa Clara, California, United States, 95050
AIML - Sr. Full Stack Engineer, Compute Capacity and Efficiency - ML Platform Technologies
Would you like to make significant impact on Apple's large-scale serverless platform? We design and build compute infrastructure that empowers development on Apple Intelligence, AIML research and enterprise algorithms that drive the company. As a senior engineer in Capacity and Efficiency team within AIML, you will build systems that ensure compute resources are optimally distributed throughout the company. This includes developing demand and capacity planning system, driving innovation in forecasting, optimization and supply chain management tooling that work at scale, distilling complex data into easy-to-interpret and low-latency visualizations that guide strategies, and engaging cross-functionally with finance analysts, supply chain managers, data center operations, compute infra engineers and more. Our team works in an iterative and fast-paced environment, and we're passionate about learning new technologies and knowledge sharing. If the opportunity to learn and build services that scale, stay highly available and "just work" excites you, then please reach out to us! Minimum Qualifications
5+ years of experience with Bachelor's degree or higher in Engineering, Mathematics, Economics or a related quantitative field Must have strong CS fundamentals Experience working with modern web frameworks like React Comfortable with RESTful APIs and storage technologies e.g. S3, Trino, PostgreSQL, Elasticsearch Excellent problem-framing and problem-solving skills Preferred Qualifications
Familiarity with Enterprise Resource Planning (ERP) systems Experience developing machine learning models 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 $147,400 and $272,100, 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. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
Would you like to make significant impact on Apple's large-scale serverless platform? We design and build compute infrastructure that empowers development on Apple Intelligence, AIML research and enterprise algorithms that drive the company. As a senior engineer in Capacity and Efficiency team within AIML, you will build systems that ensure compute resources are optimally distributed throughout the company. This includes developing demand and capacity planning system, driving innovation in forecasting, optimization and supply chain management tooling that work at scale, distilling complex data into easy-to-interpret and low-latency visualizations that guide strategies, and engaging cross-functionally with finance analysts, supply chain managers, data center operations, compute infra engineers and more. Our team works in an iterative and fast-paced environment, and we're passionate about learning new technologies and knowledge sharing. If the opportunity to learn and build services that scale, stay highly available and "just work" excites you, then please reach out to us! Minimum Qualifications
5+ years of experience with Bachelor's degree or higher in Engineering, Mathematics, Economics or a related quantitative field Must have strong CS fundamentals Experience working with modern web frameworks like React Comfortable with RESTful APIs and storage technologies e.g. S3, Trino, PostgreSQL, Elasticsearch Excellent problem-framing and problem-solving skills Preferred Qualifications
Familiarity with Enterprise Resource Planning (ERP) systems Experience developing machine learning models 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 $147,400 and $272,100, 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. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.