Amazon - New York, NY

posted about 2 months ago

Full-time - Mid Level
New York, NY
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. Amazon's Sponsored Products advertising business is one of the fastest-growing areas in the company. Have you ever wondered what happens behind that "Sponsored" label you see in search results on Amazon? Hint: it involves a lot of interesting tech delivered by a great team. 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. The business and technical challenges are significant. Fortunately, we have a broad mandate to experiment and innovate, and a seemingly endless range of new opportunities to build a big, sustainable business that helps Amazon continuously delight our customers. We're looking for curious and customer-obsessed software engineers who can help us take our products to the next level. We embrace leaders with a startup mentality - those who seek a disruptive yet clear mission and purpose, have an unambiguous owner's mindset, and are relentlessly obsessed with delivering amazing products. You'll own significant products and features from design through launch, and will work with product managers, scientists, and other engineers to make your efforts successful.

Responsibilities

  • Drive the technical direction of offerings and solutions within 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.
  • Own significant products and features from design through launch.

Requirements

  • Strong analytical skills to solve problems backed by verifiable data.
  • Ability to drive processes, tools, and statistical methods that support rational decision-making.
  • Experience in fostering a creative atmosphere for innovation while holding team members accountable.
  • Ambition coupled with humility, recognizing opportunities for improvement through introspection and feedback.
  • Ability to explore new problem spaces with unique constraints and identify gaps in the team.

Nice-to-haves

  • Experience with machine learning and natural language processing (NLP).
  • Familiarity with performance metrics and measurement techniques.
  • Experience in a fast-paced, startup-like environment.

Benefits

  • Competitive salary and performance bonuses.
  • Health insurance and wellness programs.
  • 401(k) retirement savings plan with company matching.
  • Paid time off and holidays.
  • Opportunities for professional development and continued education.
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