Machine Learning Scientist - Ad Campaign Optimization

Apple

  • Cupertino, CA
  • Permanent
  • Full-time
  • 2 days ago
At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone!DescriptionWe're 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 meaningful innovation in multiple fields by owning the development and application of sophisticated techniques and algorithms to improve our ad network. You have, or will develop a deep understanding of the ad network behavior, and will partner with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You will lead the conception, development, and delivery of innovative capabilities that differentiate our products and are core to our business. You should have experience developing and implementing machine learning or optimization algorithms, ideally within the ads space, recommendations, or search relevance. You will have an excellent understanding of scalable architectures and thrive working in Agile environments. The ability to be a great teammate under potentially tight constraints is key to success.Responsibilities
  • In this role, you'll design and build scalable solutions that enable advertisers to optimize for their campaign goals and performance on the Apple Ads. You will have the opportunity to build the next generation solutions for budget and bid optimization 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.
Minimum Qualifications
  • 3+ years of experience building machine learning and quantitative optimization capabilities, across many different product areas at scale
  • Experience in machine learning, quantitative methods, control systems, or reinforcement learning
  • 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, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems
Preferred Qualifications
  • 5+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale
  • MS or PhD, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems
Pay & BenefitsAt 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 $181,100 and $318,400, 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.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 seek to promote 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.

Apple