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Apple Machine Learning Engineer - Matching Apple Ads United States, New York, New York 831351830
Yesterday
You'll have the opportunity to develop models that improve our platform across the board, write production code to generate 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. You'll 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've, 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'll 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, ideally within the ads space. You'll have an excellent understanding of scalable architectures and thrive working in Agile environments. The ability to be a good team player under tight deadline constraints is key to success.
- 4+ years of experience building machine learning capabilities across many different product areas at scale.
- Differentiated, recognized expertise in NLP, information retrieval and search.
- 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 understanding of design of experiments, online experimentation approaches, preferably at scale.
- Experience contributing and/or reviewing research for top conferences and publications.
- Expertise in Java or Python.
- Experience with Spark, Hadoop or other distributed frameworks.
- Master's, or equivalent experience, in NLP, Machine Learning, Statistics, 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.
- 7+ years of experience building machine learning capabilities across many different product areas at scale.
- PhD, or equivalent experience, in NLP, Machine Learning, Statistics, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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