SDE , Sponsored Display

2 weeks ago

Toronto, Canada Amazon Development Centre Canada ULC Full time
Want to work on one of Amazon’s fastest growing advertising businesses? Do you enjoy working with product leaders, scientists and engineers to deliver Machine Learning (ML) powered software solutions that delight customers? Are you a full stack software engineer with experience delivering state-of-the art solutions used by millions of customers? If so, we'd love to hear from you.

About Amazon Advertising:
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising.

About our team:
BOLDx (Sponsored Brands, OTT, Live Gaming, Sponsored Display Advertising Experiences) is on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping beautiful, delightful, and personal. We enable any advertiser – regardless of budget size, advertising experience, or technical expertise to can set up brand, display and streaming video campaigns to run on key placements across Amazon retail website and apps, Twitch, IMDB, Amazon Devices, Freevee, Prime Video and third party websites (e.g. nytimes.com) and mobile apps.

You will be part of a team which own, develop and operate robust services, datasets and machine learning models that are able to handle large volume of transactions and data and operating at a global scale. You will make use and explore a variety AWS services like Elastic Search, DynamoDB, SQS/SNS, S3, EC2, EMR and open source technologies such as Apache Lucene and Apache Spark. As you work on greenfield projects, you will constantly also explore new and build technologies that will best solve new technical and business needs.

The team consists of a core engineering team and a dedicated machine learning team who own and operate the end-to-end technology stack required to train ML models, evaluate incoming bid requests, use machine learning models and search technologies to select the best ads show, cache and real time evaluation of ads, filter and rank the ads that will be optimized to display for our shoppers and meet advertisers goals.

We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. We are passionate about building scalable, well-designed software services, and strive to constantly improve our technical foundation and user experience. As an engineer within us, you’ll have a direct impact on your customers by making it easy and efficient for these suppliers to advertise their brands and products, increase sales and improve the Amazon shopper experience.

We’re working hard, having fun, and making history Come join us

#advertising #sbjobs #sdjobs #machinelearning #bigdata #adtechjobs

Key job responsibilities
The ideal candidate will be passionate about solving complex and broad business problems with simple and straightforward solutions, applying appropriate technologies and software engineering best practices, building solutions that scaled and performed. They will own the design and implementation of major deliverables end-to-end. This position requires collaboration with other engineers on the team, product managers, technical program managers and partner teams, necessitating a comfort-level with ambiguity and a desire to create, iterate and improve. You will have the opportunity to really make a difference to our fastest growing advertising product

We are open to hiring candidates to work out of one of the following locations:

Toronto, ON, CAN

BASIC QUALIFICATIONS

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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