Machine Learning Scientist Ads Auction
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Job Location:
Cupertino, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 be responsible for designing analyzing and optimizing the core auction system that powers our advertising platform 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 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. The ideal candidate has a strong background in auction theory applied machine learning and large-scale systems along with hands-on experience building and optimizing auction-based ad delivery systems in production. 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.
- 5 years of experience working in online advertising marketplace design or large-scale recommendation/auction systems
- Strong background in auction theory mechanism design optimization statistics or machine 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 in in Economics Operations Research Machine Learning Statistics Control Theory Forecasting Optimization Reinforcement Learning or related field with experience building production systems or equivalent experience working with large data science / machine learning projects in industry
- Experience in ads optimization recommendations or search relevance optimization is highly preferred
- MS or PhD in Economics Operations Research Machine Learning Statistics Control Theory Forecasting Optimization Reinforcement Learning or related field with experience building production systems or equivalent experience working with large data science / machine learning projects in industry
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
