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Senior Research Scientist

Amazon - Sydney, NSW

Source: uWorkin



Amazon’s network is a key differentiator for Amazon Cloud Computing and Web Services (AWS), enabling the global operation of thousands of applications across millions of servers worldwide. The AWS Networking team develops and operates the network platform for all of Amazon including our e-commerce products and cloud computing solutions. This platform is industry-leading for its efficiency, throughput and reliability, and it is critical to the success of hundreds of thousands of AWS customers.

We are looking for Research Scientists to help us deliver the future of software-driven traffic engineering at the core of our global network. This role may be for you if you are passionate about software systems that transform the way networks are built, controlled and operated. Working collaboratively, you will develop solutions to complex problems, such as designing the next generation of algorithms for Amazon’s Software Defined Network (SDN). As a Research Scientist, you will continue to contribute to the research community, by working with other scientists across Amazon, AWS, our partners, and our network, as well as collaborating with academic researchers and publishing papers. Within Traffic Engineering, our Science community values teamwork, supports continued learning, and recognizes the need to take risks and try new ideas that may fail. Furthermore, our builder culture means that Scientists and Software Development Engineers work closely together to invent and construct at a massive scale.


  • Understand and mine our partners’ large amount of data, prototype and implement new learning algorithms and prediction techniques for traffic engineering.
  • Collaborate with product managers and engineering teams to design and implement software solutions for AWS and Partners’ problems
  • Contribute to progress of the AWS and broader research communities by producing publications
Inclusive Team Culture

Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes we do get to build a really cool service, but we also think a big reason for that is the inclusive and welcoming culture we try to cultivate every day. We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated,reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we’ve been building

Mentorship & Career Growth

Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Basic Qualifications
  • PhD or equivalent Master's degree plus 4+ years of research experience in a quantitative filed
  • Experience investigating the feasibility of applying scientific principals and concepts to business problems and products
  • 1+ of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation.
  • We will accept a Master's degree or foreign equivalent in Statistics, Machine Learning, Computer Science, Mathematics, Physics, or a related field and three years of research or work experience in the job offered or a related occupation as equivalent to the PhD and one year of experience.
  • Must have at least one year of research or work experience in the following skill(s): programming with a mathematical programming language such as R, MATLAB, or SAS or major programming language such as Python, Java, C++, C#, or C
  • Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems.

Preferred Qualifications

Ph.D. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
  • 2+ years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation.

Company - Amazon Support Services PtyLtd
Job ID: A1589334