Applied Scientist, TMT – Search
Job Overview
Job title: Applied Scientist, TMT – Search
Job description: DESCRIPTION
Job summary
Amazon’s Traffic and Marketing technology team is building the Internet’s largest-scale Search and Social Marketing systems. Our Applied Machine learning team is responsible for a number of algorithms that automatically generate, target, measure, and optimize tens of millions of search engine and social media free content and ad placements that drive a significant portion of Amazon’s business. The ad placements include Text ads, Product image based Shopping Ads and Video Ads, and free content includes evaluating and ranking variety of Amazon’s page-types such as Browse, search and detail pages etc. We manage a continuously growing portfolio of advertisements while maximizing returns through bidding efficiency and discovery of new keywords, products and revenue opportunities. Cutting edge technology and algorithms including statistical modeling, natural language processing, machine learning, and data mining are the core of our business. Search and Social Marketing drives a large portion of Amazon’s traffic and business, and represents a unique opportunity to drive impact on the company’s bottom line. We also focus on developing novel A/B experimentation mechanisms to measure efficacy of our ML solutions. With essentially full ownership of our own product road map, there is a large R&D component to our work, and strong engineering skills together with sound business understanding and an appetite for innovation are highly valued.
You will go home and show your family and friends why they receive this ad or content recommendation on Google/Facebook from Amazon. You will make a difference by improving the relevancy for customers and optimizing the investment level for Amazon. You will work with diverse teams and channels. You will work on a myriad of interesting and challenging problems in marketing and advertising, where you get an opportunity to hone your expertise in Advanced statistics and data mining, deep learning, supervised and unsupervised machine learning techniques to make a real impact to the world. You will work on solving challenging problems at the intersection of e-commerce and internet advertising, while gaining knowledge about the ever dynamic and evolving digital marketing landscape.
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Key job responsibilities
Responsibilities include :
· Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.
· Create experiments and prototype implementations of new learning algorithms and prediction techniques
· Model development , validation and deployment using Internal Amazon tools and public services such as AWS Sage Maker for large-scale applications.
· Use machine learning best practices such as Feature detection, anomaly detection and measuring precision and recall to ensure a high standard of quality for all of the team deliverables
· Collaborate with scientists, engineers, product managers, and business stakeholders to design and implement software solutions for science problems
· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
We are a team of scientists with engineering expertise. You will extract, analyze and transform large scale data for modeling. You will research and implement machine learning models to solve the optimization problems. You will collaborate with partner teams to understand the current systems and data sources, or propose new system or data collection improvements. You will communicate findings and results to leadership, and shape the product roadmap for the organization.
A day in the life
What will you be doing?
As an Applied scientist on our team, you will leverage your strong background in Computer Science and Machine Learning to help build the next generation of our model development and assessment pipeline, harness and explain rich data at Amazon scale, and provide automated insights to improve machine learned solutions that impact millions of customers every day. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with machine learning models and information retrieval system. We are particularly interested in experience applying Unsupervised techniques such as Clustering, and Supervised algorithms such as Decision trees, Regressions and deep learning at scale.
BASIC QUALIFICATIONS
· PhD Degree in Machine Learning, Computer Science, Applied Mathematics, Statistics or related quantitative field or equivalent combination of education and experience
· Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
· Proficiency in, at least, one modern programming language such as Python, C/C++ or Java
PREFERRED QUALIFICATIONS
· PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics or related quantitative field
· 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.
· Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
· Excellent communication and presentation skills at all levels of the organization
· Ability to take a project from scoping requirements through actual launch of the project
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Company: Amazon
Expected salary:
Location: Vancouver, BC
Job date: Sun, 19 Dec 2021 03:02:28 GMT
Job Source: Careerjet.ca