Senior Machine Learning Scientist - Ad Campaign Optimization (Recommendations)

Apple • Cupertino, CA

3d

About The Position

At Apple, we strive every day to create products that enrich people's lives. Apple Ads enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. We are seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace. You will develop models and systems that improve our platform across the board, develop production code to generate high quality ad recommendations and work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You will also drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network. You have, or will develop a deep understanding of the ad network behavior, and will work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You will lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business. You should have experience developing and implementing machine learning algorithms or recommendation systems and AI agents, ideally within the ads space. You will have an excellent understanding of scalable architectures and thrive working in Agile environments. The ability to be a great teammate under tight deadline constraints is key to success.
In this role, you will design and build scalable solutions that enable advertisers and internal GTM teams to improve their outcomes on the Apple Ads. You will have the opportunity to build the next generation solutions for providing personalized recommendations that enable driving optimal campaign performance and advertiser experience. You will work with a variety of cross functional business partners to set strategy and bring end-to-end solutions that scale as we grown. You will have the opportunity to apply your ability to move the state of the art techniques in a fast growing business that positively impacts publishers, developers and Apple users at global scale.

Requirements

• 5+ years of experience in machine learning, recommendation systems and LLM based agentic systems
• Ability to apply and implement research concepts, ultimately in production quality code
• Experience defining clear, testable research hypotheses, including intended impact on the business
• Deep knowledge of design of experiments, online experimentation approaches, preferably at scale
• Ability to formulate and advocate for R D objectives and results to cross-functional team members including executive business leadership and product management
• Experience contributing and/or reviewing research for top conferences and publications
• Deep fluency in Java or Python
• Experience with Spark, Hadoop or other distributed frameworks
• BS, or equivalent experience, in Machine Learning, Statistics, Optimization or related field with experience building production systems

Nice To Haves

• 3+ years of experience building machine learning and recommendation system capabilities across many different product areas at scale
• Experience in recommendation systems, personalization or AI agents is highly preferred
• MS or PhD, or equivalent experience, in n Machine Learning, Statistics, Optimization or related field with experience building production systems with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry

Responsibilities

• Develop models and systems that improve our platform across the board
• Develop production code to generate high quality ad recommendations
• Work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects
• Drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network
• Work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains
• Lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business
• Design and build scalable solutions that enable advertisers and internal GTM teams to improve their outcomes on the Apple Ads
• Build the next generation solutions for providing personalized recommendations that enable driving optimal campaign performance and advertiser experience
• Work with a variety of cross functional business partners to set strategy and bring end-to-end solutions that scale as we grown
• Apply your ability to move the state of the art techniques in a fast growing business that positively impacts publishers, developers and Apple users at global scale.

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• A range of discounted products and free services
• Reimbursement for certain educational expenses — including tuition
• Discretionary bonuses or commission payments
• Relocation
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees