Job posting has expired
Senior Software Engineer - Machine Learning Infrastructure
Apple, Inc. | |
United States, California, Cupertino | |
May 03, 2024 | |
Summary
Posted: Apr 1, 2024 Weekly Hours: 40 Role Number: 200525163 The Apple Maps Data Infrastructure team needs exceptional engineers to help build capabilities across a spectrum of technologies in a hybrid-cloud environment. As a key contributor, you will be at the forefront of shaping the technological landscape, focusing on machine learning infrastructure, batch processing, real-time processing, and data Lakehouse technologies. This role offers a great opportunity to power a variety of business units through technological innovation at Apple. The Maps Data Infrastructure team is committed to supporting the Apple Maps business by building technological capabilities that not only enable the business operations but also optimize infrastructure efficiency. We are facing challenges every day to deal with data at a massive scale. That is why we are looking for strong engineers who love solving challenging problems through conducting independent research and collaborating with teams across Apple. As a senior member of our team, you will be at the forefront of tackling challenging problems and addressing a wide array of use cases. Your role involves delivering innovative solutions, providing insightful perspectives on emerging technologies, and making platform-level impacts. This is an opportunity to work on innovative projects that demand creativity, strategic thinking, and a commitment to excellence. If you're ready to embrace diverse challenges, contribute to groundbreaking solutions, and be a driving force behind technological advancements, we invite you to join us on this exciting journey. Key Qualifications
Description We are looking for an exceptionally curious and motivated candidate who is excited by the opportunity to rapidly build the reputation of subject matter of expert in data and ML infra field across the org. You will collaborate with a wide range of internal teams, listening intently to understand their pain points and true underlying needs. Using your problem-solving abilities, you will draw insights that enable you to scope, architect, and deliver innovative high-quality solutions. This role offers substantial scope for capability-building across multiple domains and technologies, learning deeply from our expert teams of developers, data engineers, and data scientists. The candidate is expected to have strong fundamentals in relevant domains that will facilitate self-directed learning driven by intellectual curiosity. We provide a collaborative environment that empowers you to expand your expertise rapidly. You will engage broadly across the organization, using excellent communication skills to translate needs into solutions. If accelerating your learning excites you and you aspire to become a leading authority in multiple technology spheres, this is the opportunity for you. Education & Experience BS in Computer Science/Electrical Engineering or related degree. Additional Requirements Pay & Benefits
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. 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. |