Summary Posted: Aug 13, 2024 Weekly Hours: 40 Role Number: 200563318 Apple is critically invested in the success of its mobile ecosystem. Our Maps and Local Search teams are core assets at the crux of this ecosystem, and we are hiring!
Our team operates at the intersection of building highly scalable applications and analytics to understand user behavior. If finding patterns in data that you can later use to build scalable and data-driven solutions intrigues you, we may have a role for you!
Description Description Our team leverages big data and modern machine-learning to ultimately surprise and delight our millions of customer's with a high-quality search experience. This role will provide you with an opportunity to help create an interdisciplinary Maps ranking feature by using your server programming, machine learning model design and implementation, and performance monitoring and optimization skills.
Additional responsibilities you may be asked to accomplish may include but are not limited to:
- Design, implement, test and launch Ranking features and Ranking models to improve Maps Search quality and relevance.
- Build highly efficient (low latency + high throughput) runtime and offline systems with focus on scalability and long term maintainability of the underlying components.
- Apply data driven methods and machine learning techniques to address sophisticated problems and develop key features focused on improving maps search experience.
- Own and conduct A/B tests for exploring various ideas and perform data analytics to infer insights from experiments to help ship features.
- Collaborate with various teams (e.g., infrastructure, metrics, data) to develop exciting features and bring them from conceptualization to production.
- Actively participate and contribute in design discussions, code reviews and roadmap planning to improve the quality of code and team’s success.
Minimum Qualifications Minimum Qualifications BS or MS in Computer Science, Engineering or equivalent Experience and familiarity with machine learning and natural language processing Practical understanding of the mathematics behind modern machine learning, linear algebra, and statistics. Strong programming and debugging skills in: Java or Objective-C or Python or equivalent. Must have a solid understanding of the software development process, including unit testing and release management. Must be able to brainstorm and optimally communicate technology ideas and issues. Must be highly collaborative and able to work multi-functional with different teams Attention to detail, data accuracy and quality of output. Key Qualifications Key Qualifications Preferred Qualifications Preferred Qualifications Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive, Pig is highly desired Knowledge and prior experience with some deep learning frameworks is desired by not required. Experience shipping products, especially ones incorporating machine learning Experience/knowledge of search technology and related fields Education & Experience Education & Experience Additional Requirements Additional Requirements Pay & Benefits 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 $143,100 and $214,500, 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.
View Original Job Posting