Summary

Posted: Nov 19, 2024

Weekly Hours: 40

Role Number:200578420

Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Architect to join and help play a big part in the next revolution of Maps; to enable users to find more things in more ways. On our team, you will have plenty of opportunities to build groundbreaking technologies using ML and GenAI at scale to improve the search quality for Apple Maps.

Description

The goal of Maps Search team is to take Apple's Maps to the next level of intelligence and accuracy using machine learning and artificial intelligence techniques. Engineers and scientists on our team work on a wide spectrum of approaches to improve search experiences on Apple Maps. In this role, some of the projects you will contribute to include but are not limited to: * Developing ML/GenAI platform foundations at scale. * Partnering and enabling other team members and Apple organizations to develop, evaluate and release algorithms, models and features based on our solutions. * Building solutions which further the accuracy, quality and performance of our Search features and products. This position involves a wide variety of skills and innovation, it is a unique opportunity that sits at the intersection of science and engineering. Ultimately, your work would have a huge impact on millions of users across the globe.

• MS in Computer Science or equivalent field with 7+ years of direct systems architecture experience
• Proven experience in Generative AI/LLMs/Machine learning in information retrieval domain such as search engines, natural language processing, or similar areas
• Strong programming experience in one or more of the following: Java, C++, Python
• Strong track record of execution and delivery
• Deliver as a technical team lead; guiding a set of engineers and research scientists
• Strong interpersonal and communication skills with the ability to collaborate with partner teams and communicate specs and roadmaps to product management through an executive audience

• PhD with focus on applied research in Computer/Data Science fields
• Desire to tackle meaningful problems which lie at the intersection of user-experience and computational algorithms
• Proven experience building robust decision support systems which can support growing requirements for AIML and GenAI applications at scale.
• Alignment with Apple's philosophy of privacy and data security

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 $207,800 and $378,700, 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.

• 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.