Senior Machine Learning Engineer - Ads Bidding & Pacing
Role details
Job location
Tech stack
Requirements
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 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., In this role, you will 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 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. The ability to be a great teammate under tight deadline constraints is key to success., 5+ 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.
PhD in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry., Experience in ads optimization, recommendations, or search relevance optimization is highly preferred
Benefits & conditions
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 $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. 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.
