Senior Machine Learning Engineering Manager, Ads Quality

Senior Machine Learning Engineering Manager, Ads Quality Apple 3.7 ( ) Cupertino, CA Why you should apply for a job to

Apple :

Ranked as one of the 66% say women are treated fairly and equally to men 66% say the CEO supports gender diversity Ratings are based on anonymous reviews by Fairygodboss members. See all reviews Company commitment that women earn the same as men performing similar work includes no salary history disclosure policy. Apple University creates classes, seminars, and tools to help employees understand Apple's culture, organization, and values. Whether you donate time or money, Apple will match charitable contributions up to $10,000 a year. # 200653902-0836 Position summary ms to ensure the quality and integrity of our ad network. You will develop a deep understanding of ad platform dynamics and its impact on user experience, and will work with business and engineering leadership to develop and prioritize an innovation roadmap across multiple technical domains. You'll lead the function that conceives of, develops, and delivers state-of-the-art capabilities that are core to user trust and our business. We are looking for an exceptional hands-on machine learning (ML) manager who can thrive in a fast-paced environment. In this role, you will oversee the strategy and development of the machine learning models that define, measure, and enforce the quality of our ads, pioneering the use of Large Language Models to ensure ads are relevant, safe, and trustworthy. You'll work closely with Product Management and Policy partners to build a roadmap and lead your team to propose, design, and analyze new algorithms; detect meaningful patterns and signals related to ad relevance and user safety while adhering to our strict privacy policies; measure the quality and impact of ads on the user experience; and finally, analyze the results of extremely large-scale experiments. Your ability to be a great teammate under tight deadline constraints is key to success.","responsibilities":"You'll lead our Ads Quality team, where you will be responsible for building and deploying the machine learning models that define, measure, and enforce the quality and integrity of our advertising platform. You'll work across Product, Policy, and Engineering teams to deliver solutions that uphold the high-quality experience users expect from Apple and maintain a trustworthy advertising ecosystem. You'll have the opportunity to push the state-of-the-art in applying and fine-tuning Large Language Models (LLMs) to solve complex ad relevance and policy challenges at massive scale. You should have experience developing systems for content understanding, such as ad relevance and policy enforcement within a large-scale production environment. You have a proven ability to lead investigations into complex data streams, draw clear conclusions, and drive engineering actions that directly impact platform quality. Preferred Qualifications 10+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets. PhD in AI/ML, Computer Science, Mathematics, or a related field. Minimum Qualifications 7+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets. Ability to actively participate in investigations into multiple streams of ads quality data, draw conclusions, and recommend actions. Experience in some of the following domains: Algorithms, Architecture, Artificial Intelligence, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, Auction Design, or other experience with rigorous Quantitative Analysis or Systems Software implementation. Practical understanding of the mathematics behind modern machine learning, linear algebra, and statistics. Experience developing and leading teams who develop in Python or Java. Familiarity with databases, SQL, and scripting languages. Proven ability to take requirements from design through to implementation, both independently and with larger teams. Passion for working closely with operational teams on deployment, monitoring, and management concerns. Demonstrated ability to actively manage the performance of the team reporting to you and take responsibility to drive its outcome. MS in AI/ML, Computer Science, Mathematics, or a related field, or equivalent practical experience. 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 $228,100 and $342,800, 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. Why you should apply for a job to

Apple :

Ranked as one of the 66% say women are treated fairly and equally to men 66% say the CEO supports gender diversity Ratings are based on anonymous reviews by Fairygodboss members. See all reviews Company commitment that women earn the same as men performing similar work includes no salary history disclosure policy. Apple University creates classes, seminars, and tools to help employees understand Apple's culture, organization, and values. Whether you donate time or money, Apple will match charitable contributions up to $10,000 a year.