DESCRIPTION

Job summary
Amazon is investing heavily in building a world-class advertising business, and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. We deliver billions of ad impressions and millions of clicks daily and break fresh ground to create world-class products. 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. Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar and strict latency constraints.

The Detail Page Blended Widgets team is chartered with building novel product recommendation experiences. We push the innovation frontiers for our hundreds of millions of customers WW to aid product discovery while helping shoppers to find relevant products easily. Our team is building differentiated recommendations, that highlight specific characteristics of products (either direct attributes, inferred or machine learned), on top of advertised and non-advertised products across the whole Amazon catalog.

As a Software Development Engineer at the Blended Widgets team, you will work hand-in-hand with senior engineers and scientists to build large-scale distributed systems and data processing pipelines. You will be responsible for designing, building, and operating key pieces of customer-facing functionality, giving you a real sense of ownership. Previous experience with Machine Learning will be a plus. Over time, we do expect you to learn about Machine Learning and how feature engineering is done within Amazon.

Location: New York is the primary location and also open to Seattle, Palo Alto and Toronto Canada locations.

Key job responsibilities
As a Software Development Engineer at the Blended Widgets team, you will work hand-in-hand with senior engineers and scientists to build large-scale distributed systems and data processing pipelines. You will be responsible for designing, building, and operating key pieces of customer-facing functionality, giving you a real sense of ownership. Previous experience with Machine Learning will be a plus. Over time, we do expect you to learn about Machine Learning and how feature engineering is done within Amazon. Location: Toronto Canada is the primary location. this position is also open to New York, Seattle, Palo Alto locations.

BASIC QUALIFICATIONS

• 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
• 2+ years of non-internship professional software development experience
• Programming experience with at least one software programming language.

PREFERRED QUALIFICATIONS

· 5+ years of industry experience in software development
· Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza
· Experience building and operating online services and fault-tolerant, distributed (multi-tiered) systems
· Experience in building large-scale machine-learning infrastructure for the online recommendation, ads ranking, personalization, or search, etc.
· Ability to effectively articulate technical challenges and solutions
· Deal well with ambiguous/undefined problems; ability to think abstractly



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, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.