• Senior Software Development Engineer - Machine Learning Systems

    Location US-CA-Palo Alto
    Posted Date 6 months ago(9/21/2018 3:12 PM)
    Job ID
    670098
    Company/Location (search) : Country (Full Name)
    United States
  • Job Description

    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. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking 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. We work hand-in-hand with Machine Learning and NLP research scientists to come up with novel solutions that retrieves highly relevant ads. We consistently strive to improve the customer search and detail page experiences. You will drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of e-commerce. This is an opportunity to make a significant impact on the future of the Amazon vision.

    If you have the passion to build heuristics as well as machine learned models based on large-scale datasets, then the Amazon Sponsored Products Relevance team is a great place to be. The ideal candidate would have worked on distributed systems such as building data-driven systems or infrastructure that handle requests at large-scale or both. Experience with Machine Learning will be a bonus. Overtime, we do expect you to learn about Machine Learning and how feature engineering is done within Amazon. The opportunity challenges you to bring both science and engineering together to identify the most relevant Ads on Amazon’s product detail pages. Your work will impact the user experience of millions of Amazon’s customers.

    As a Senior Software Development Engineer at Amazon, you will -
    • Leverage Big Data technologies, scalable system design and programming skills to implement large scale data-driven systems
    • Build a combination of heuristics and machine learned models to solve for Ad relevance
    • Integrate your work with high volume and low latency distributed systems
    • Measure the impact of your work through rapid experimentation
    • Drive the technical direction of our offerings and solutions, working with many different teams across the sponsored products organization


    In addition to being a strongly motivated IC, you will also be responsible for mentoring junior engineers and guiding them to deliver to the full potential.

    Basic Qualifications

    • Bachelor or Master's Degree in Computer Science or related field
    • 5+ years of professional experience in software development, with experience in working on low latency, high volume distributed systems.
    • 5+ years of experience with computer science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
    • Experience with at least one modern programming language such as Java, C++, C#, etc.

    Preferred Qualifications

    • Experience with building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search, etc.
    • Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza
    • Strong proficiency with Java, Python, Scala or C++
    • Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practices
    • Understanding of online computational advertising
    • Coursework or thesis in machine learning, data mining, information retrieval, or natural language processing
    • Strong written and verbal communication


    Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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