Sr. Software Development Engineer

Employer
Location
Seattle
Posted
Dec 04, 2012
Closes
Jan 03, 2013
Duration
Full Time
The Team: How often have you had an opportunity to be a founding member of a team that is tasked with solving a huge business problem through innovative technology? Would you like to know more about how computer vision and machine learning can be used to solve these problems? If this sounds intriguing, then we'd like to talk to you about a role on a new Amazon team that's in stealth-mode and tackling a set of problems requiring significant innovation.

The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that's more startup than big company. We'll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.

You will tackle challenging, novel situations every day and given the size of this initiative, you'll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that's higher than most projects and relish the idea of solving problems that, frankly, haven't been solved at scale before - anywhere. Along the way, we guarantee that you'll learn a ton, have fun and make a positive impact on millions of people.

  • Bachelor's degree in Computer Science or related field.
  • 6+ years of experience in software development.
  • 5+ years of rich, hands-on programming experience in Java, C++, or other object-oriented languages. Familiarity with one or more of: Python, Perl, PHP.
  • 5+ years of experience with OO design and common design patterns.
  • Expertise in data structures, algorithms, and complexity analysis. The ability to produce bullet-proof code that is fault-tolerant, efficient and maintainable.
  • Academic and/or industry experience with one of more of the following domains: computer vision, image recognition, machine learning or large-scale distributed systems.

  • Master's/PhD in Computer Science or related field


  • http://track.tmpservice.com/ApplyClick.aspx?id=1660617-2015-7696