Senior Machine Learning Engineering Manager - Ads Predictions

Senior Machine Learning Engineering Manager - Ads Predictions 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. # 200653874-0836 Position summary , click-through rate, conversion rate, post-conversion optimization) at scale, and understand the nuances of optimizing for user engagement, relevance, and long-term value under latency constraints. You bring hands-on experience developing and deploying large-scale models, with an appetite for pushing state-of-the-art techniques and advancing model capability through increased scale and complexity. You are motivated by privacy-preserving machine learning and have experience building systems that operate effectively within privacy-first constraints. In this role, you will lead the strategy and development of inference models that predict and optimize user interactions with ads, working across the full modeling stack-from data and model training pipelines to real-time serving and experimentation. You will partner closely with engineering and product teams to define and execute a forward-looking roadmap. You thrive in a fast-paced, Agile environment and are a hands-on ML leader who can drive execution while building strong, collaborative teams.","responsibilities":"Lead and grow a high-performing, team of ML engineers and applied scientists focused on Ads Response Predictions across different surfaces Partner cross-functionally with Engineering, Product and Sales teams to deliver end-to-end solutions from ideation to production Collaborate closely with platform and infrastructure teams to optimize training, inference, and resource utilization for large-scale ML workloads Drive development and deployment of state-of-the-art machine learning models (including large-scale neural networks and LLM-based systems) for ads quality and marketplace optimization Own the full lifecycle of ML systems-data, modeling, offline evaluation, online experimentation, and productionization at scale Lead A/B experimentation strategy and decision-making, translating complex data insights into clear product and business recommendations Ensure robust system design across modeling, feature pipelines, and online serving, with a focus on scalability, latency, and reliability Champion privacy-preserving machine learning approaches in model development, data usage, and system design Set a high bar for technical excellence, code quality, and operational rigor, including monitoring, debugging, and continuous improvement of production systems Mentor and develop team members, actively managing performance and fostering a culture of ownership, innovation, and execution Communicate effectively with senior leadership, distilling complex technical concepts into clear, actionable insights and strategy Preferred Qualifications 10+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data setsPhD in AI/ML/Mathematics/CS or related field Minimum Qualifications 10+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets You can actively participate in investigations into multiple streams of ads quality data, and draw conclusions from data, recommend actions You have 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 You have experience developing and leading teams who develop in Python or Java You are familiar with databases, SQL, and scripting languages Proven ability to take requirements from design through to implementation both independently and with larger teams You thrive working closely with operational teams on deployment, monitoring, and management concerns You actively manage performance of the team reporting to you and take responsibility to drive its outcome PhD or MS in AI/ML/Mathematics/CS or related field 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 $393,800, 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.