Services Llc

SP achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus.. Key job responsibilitiesAs a Senior Applied Scientist on this team you will:Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.. Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.. BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C. Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

applied scientist

Calling all inventors to work on exciting new opportunities in Sponsored Products. Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses, driving long-term growth. Sponsored Products (SP) helps merchants, retail vendors, and brand owners grows incremental sales of their products sold on Amazon through native advertising. SP achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. We are a highly motivated, collaborative and fun-loving group with an entrepreneurial spirit and bias for action.You will join a newly-founded team with a broad mandate to experiment and innovate, which gives us the flexibility to explore and apply scientific techniques to novel product problems. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact. More importantly, you will have the opportunity to broaden your technical skills, and be a science leader in an environment that thrives on creativity, experimentation, and product innovation.Key job responsibilitiesAs a Senior Applied Scientist on this team you will:Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.Develop real-time algorithms to allocate billions of ads per day in advertising auctions.Lead technical efforts within this team and across other teams.Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.Run A/B experiments, gather data, and perform statistical analysis.Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.Work closely with software engineers to assist in productionizing your ML models.Research new machine learning approaches.Recruit Applied Scientists to the team and act as a mentor to other Scientists on the team.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.

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