Amazon - Palo Alto, CA

posted about 2 months ago

Full-time - Mid Level
Palo Alto, CA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

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 a 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 deliver 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. As a Software Development Engineer in Machine Learning at Amazon, you will drive the technical direction of our offerings and solutions, working with many different technologies across the sponsored products organization. You will design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems. You will work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions. What you create is also what you own.

Responsibilities

  • Drive the technical direction of offerings and solutions in the sponsored products organization.
  • Design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems.
  • Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure.
  • Implement end-to-end solutions for machine learning applications.
  • Make appropriate technology choices for the business and lead continuous innovation.

Requirements

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience of new and existing systems.
  • Experience programming with at least one software programming language.

Nice-to-haves

  • 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Bachelor's degree in computer science or equivalent.
  • Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.

Benefits

  • Equity and sign-on payments as part of total compensation package.
  • Full range of medical, financial, and/or other benefits.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service