Machine Learning Engineer, Ois-core Engine

Amazon Amazon · Big Tech · Austin, TX · Software Development

Machine Learning Engineer focused on developing and deploying ML products for network management within Amazon Infrastructure Engineering, aiming to improve customer experience and revolutionize business operations.

What you'd actually do

  1. Solve complex technical problems, often ones not solved before, at every layer of the stack.
  2. Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security.
  3. Build high-impact ML solutions to deliver to our large customer base.
  4. Build high-quality, highly available, always-on products.
  5. Research implementations that deliver the best possible experiences for customers.

Skills

Required

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 1+ years of software development engineer or related occupational experience
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language

Nice to have

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

What the JD emphasized

  • ML software solutions
  • ML solutions
  • ML products

Other signals

  • leverage the power of machine learning to solve complex network management problems
  • develop machine learning (ML) products that impact millions of people
  • identify, define, and build ML software solutions that revolutionize how businesses operate